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Table
of Contents
AAMAS'25
Chairs Welcome
AAMAS'25
IFAAMAS Copyright Page
Conference
Organization
Area
Chairs
Senior
Program Committee
Program
Committee
Auxiliary
Reviewers
Special
Track Reviewers
Awards
Sponsors
& Supporters
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Keynote
Talks
Responsible
AI and Autonomous Agents: Governance, Ethics, and Sustainable Innovation (Page
1)
Virginia Dignum (AI Policy Lab, Umeå University)
The
Agent Paradox: Can Multi-Agent Systems Replicate the Complexity of Human
Cognition and Social Behavior? (Page
3)
Rada Mihalcea (University of Michigan)
Multiagent
Systems, and the Search for Appropriate Foundations: A Personal Journey
and Retrospective (Page
4)
Jeffrey S. Rosenschein (The Rachel and Selim Benin School of Computer
Science and Engineering, The Hebrew University of Jerusalem) |
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Research
Paper Track
Enhancing
Offline Reinforcement Learning with Curriculum Learning-Based Trajectory
Valuation (Page 5)
Amir Abolfazli (L3S Research Center)
Zekun Song (Technical University of Berlin)
Avishek Anand (Delft University of Technology)
Wolfgang Nejdl (L3S Research Center)
Who
Reviews The Reviewers? A Multi-Level Jury Problem (Page
14)
Ben Abramowitz (Tulane University)
Omer Lev (Ben-Gurion University of the Negev)
Nicholas Mattei (Tulane University)
An
Improved Mechanism for Pricing Ride-Hailing Fares (Page
23)
Marek Adamczyk (Institute of Informatics, University of Wroclaw)
Maurycy Borkowski (Institute of Informatics, University of Wroclaw)
Michal Pawlowski (University of Warsaw & Sapienza University of Rome)
EFX
Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture (Page
32)
Mahyar Afshinmehr (Sharif University of Technology)
Alireza Danaei (Sharif University of Technology)
Mehrafarin Kazemi (Sharif University of Technology)
Kurt Mehlhorn (Max Planck Institute for Informatics, Saarland Informatics
Campus)
Nidhi Rathi (Max Planck Institute for Informatics, Saarland Informatics
Campus)
Harmonious
Balanced Partitioning of a Network of Agents (Page
41)
Pulkit Agarwal (Indian Institute of Technology Bombay)
Harshvardhan Agarwal (Indian Institute of Technology Bombay)
Vaibhav Raj (Indian Institute of Technology Bombay)
Swaprava Nath (Indian Institute of Technology Bombay)
SCMRAG:
Self-Corrective Multihop Retrieval Augmented Generation System for LLM
Agents (Page 50)
Rishabh Agrawal (University of Western Ontario)
Murtaza Asrani (University of Western Ontario)
Hadi Youssef (University of Western Ontario)
Apurva Narayan (University of Western Ontario)
Investigating
the Perspective of Non-Native Speakers on Foreigner-Directed Speech using
Virtual Agents: The Role of Racial Ingroup Affiliation and Language Proficiency
on Perception and Comprehension (Page
59)
Ohenewa Bediako Akuffo (Socially Interactive Agents, University of
Würzburg)
Birgit Lugrin (Socially Interactive Agents, University of Würzburg) |
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Impact
Measures for Gradual Argumentation Semantics (Page
69)
Caren Al Anaissy (CRIL, Univ. Artois CNRS & LIP6, Sorbonne University)
Jérôme Delobelle (Université Paris Cité, LIPADE, F-75006)
Srdjan Vesic (CRIL CNRS Univ. Artois)
Bruno Yun (Universite Claude Bernard Lyon 1, CNRS, Ecole Centrale de
Lyon, INSA Lyon, Université Lumière Lyon 2, LIRIS, UMR5205, 69622)
Approximation
Ratio for Preference Aggregation Using Tree CP-Nets (Page
78)
Abu Mohammad Hammad Ali (University of Regina)
Daniel Ogundare (University of Regina)
Boting Yang (University of Regina)
Sandra Zilles (University of Regina and Amii)
Geometric
Freeze-Tag Problem (Page
87)
Sharareh Alipour (Tehran Institute for Advanced Studies, Khatam University)
Kajal Baghestani (Sharif University of Technology)
Mahdis Mirzaei (University of Tehran)
Soroush Sahraei (University of Tehran)
Robin
Hood Reachability Bidding Games (Page
96)
Shaull Almagor (Technion)
Guy Avni (University of Haifa)
Neta Dafni (Technion)
A
Hypothesis-Driven Approach to Explainable Goal Recognition (Page
105)
Abeer Alshehri (University of Melbourne & King Khalid University)
Hissah Alotaibi (Jazan University)
Tim Miller (University of Queensland)
Mor Vered (Monash University)
Algorithmically
Fair Maximization of Multiple Submodular Objective Functions (Page
115)
Georgios Amanatidis (Athens University of Economics and Business Archimedes
/ Athena RC)
Georgios Birmpas (University of Liverpool)
Philip Lazos (Jump Trading)
Stefano Leonardi (Sapienza University of Rome)
Rebecca Reiffenhäuser (University of Amsterdam)
Truthful
and Welfare-maximizing Resource Scheduling with Application to Electric
Vehicles (Page 124)
Ramsundar Anandanarayanan (Indian Institute of Technology Bombay)
Swaprava Nath (Indian Institute of Technology Bombay)
Prasant Misra (Tata Consultancy Services Limited)
Model
and Mechanisms of Consent for Responsible Autonomy (Page
133)
Anastasia S. Apeiron (Utrecht University)
Davide Dell'Anna (Utrecht University)
Pradeep K. Murukannaiah (Delft University of Technology)
Pinar Yolum (Utrecht University) |
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FORM:
Learning Expressive and Transferable First-Order Logic Reward Machines (Page
142)
Leo Ardon (Imperial College London)
Daniel Furelos-Blanco (Imperial College London)
Roko Parac (Imperial College London)
Alessandra Russo (Imperial College London)
Probably
Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty (Page
152)
Andreas Athanasopoulos (University of Neuchâtel)
Anne-Marie George (University of Oslo)
Christos Dimitrakakis (University of Neuchâtel)
Bidding
Games on Markov Decision Processes with Quantitative Reachability Objectives (Page
161)
Guy Avni (University of Haifa)
Martin Kurecka (Masaryk University)
Kaushik Mallik (IMDEA Software Institute)
Petr Novotný (Masaryk University)
Suman Sadhukhan (University of Haifa)
Fair
Allocation of Divisible Goods under Non-Linear Valuations (Page
170)
Haris Aziz (UNSW Sydney)
Zixu He (UNSW Sydney)
Xinhang Lu (UNSW Sydney)
Kaiyang Zhou (UNSW Sydney)
Condorcet
Winners and Anscombe's Paradox Under Weighted Binary Voting (Page
179)
Carmel Baharav (ETH Zürich)
Andrei Constantinescu (ETH Zürich)
Roger Wattenhofer (ETH Zürich)
Local
Topological Information as a Powerful Enhancer for Generalizable Neural
Method in Travelling Salesman Problem (Page
188)
Xiaoxin Bai (School of Computer Science and Engineering, Southeast
University)
JunYang Yang (School of Cyber Science and Engineering, Southeast University)
Shengchao Yuan (School of Computer Science and Engineering, Southeast
University)
Yinghao Zhang (School of Electronics and Information Engineering, South
China University of Technology)
Hanqian wu (School of Cyber Science and Engineering, Southeast University)
On
the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty
Nash Refinement (Page
197)
James P. Bailey (Rensselaer Polytechnic Institute)
Craig A. Tovey (Georgia Institute of Technology)
The
Price of Anarchy in Spatial Social Choice (Page
205)
James P. Bailey (Rensselaer Polytechnic Institute)
Craig A. Tovey (Georgia Institute of Technology)
Alternating-time
Temporal Logic with Stochastic Abilities (Page
214)
Gabriel Ballot (SEIDO Lab, EDF R&D and Télécom Paris, Institut Polytechnique
de Paris)
Vadim Malvone (LTCI, Télécom Paris, Institut Polytechnique de Paris)
Jean Leneutre (LTCI, Télécom Paris, Institut Polytechnique de Paris)
Jingxuan Ma (SEIDO Lab, EDF R&D)
Mourad Leslous (SEIDO Lab, EDF R&D) |
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An
AI-Driven Card Playing Robot: An Empirical Study on Communicative Style
and Embodiment with Elderly Adults (Page
223)
Michael Banck (AI and Knowledge Systems, University of Würzburg)
Elisabeth Ganal (Socially Interactive Agents, University of Würzburg)
Hanna-Finja Weichert (Socially Interactive Agents, University of Würzburg)
Frank Puppe (AI and Knowledge Systems, University of Würzburg)
Birgit Lugrin (Socially Interactive Agents, University of Würzburg)
On
the Complexity of Learning to Cooperate in Populations of Socially Rational
Agents (Page 233)
Saptarashmi Bandyopadhyay (Department of Computer Science, University
of Maryland)
Mustafa Mert Çelikok (Department of Intelligent Systems, Delft University
of Technology)
Robert Loftin (Department of Computer Science, University of Sheffield)
Beyond
Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot
Interactions (Page
242)
Tahsin Tariq Banna (Robotics & Mechatronics Engineering, University
of Dhaka)
Sejuti Rahman (Robotics & Mechatronics Engineering, University of Dhaka)
Mohammad Tareq (Accounting & Information Systems, University of Dhaka)
Neural
DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable
Policies (Page 252)
Kexin Gu Baugh (Imperial College London)
Luke Dickens (University College London)
Alessandra Russo (Imperial College London)
Sea-cret
Agents: Maritime Abduction for Region Generation to Expose Dark Vessel
Trajectories (Page
261)
Divyagna Bavikadi (Arizona State University)
Nathaniel Lee (Arizona State University)
Paulo Shakarian (Arizona State University)
Chad Parvis (EpochGeo)
Opinion
Dynamics with Median Aggregation (Page
271)
Petra Berenbrink (University of Hamburg)
Martin Hoefer (RWTH Aachen University)
Dominik Kaaser (TU Hamburg)
Marten Maack (University of Hamburg)
Malin Rau (Chalmers University of Technology)
Lisa Wilhelmi (RWTH Aachen University)
Speed
vs Accuracy in Goal Recognition for Time-Sensitive Applications: A Game-Theoretic
Approach (Page 280)
Sara Bernardini (University of Oxford)
Fabio Fagnani (Politecnico di Torino)
Santiago Franco (Royal Holloway University of London)
To
Spend or to Gain: Online Learning in Repeated Karma Auctions (Page
289)
Damien Berriaud (ETH Zürich)
Ezzat Elokda (ETH Zürich)
Devansh Jalota (Stanford University)
Emilio Frazzoli (ETH Zürich)
Marco Pavone (Stanford University)
Florian Dörfler (ETH Zürich) |
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Towards
Envy-Freeness Relaxations for General Nonmonotone Valuations (Page
298)
Umang Bhaskar (Tata Institute of Fundamental Research)
Gunjan Kumar (Indian Institute of Technology Kanpur)
Yeshwant Pandit (Tata Institute of Fundamental Research)
Rakshitha (Indian Institute of Technology Delhi)
Maximizing
Value in Challenge the Champ Tournaments (Page
307)
Umang Bhaskar (Tata Institute of Fundamental Research)
Juhi Chaudhary (Tata Institute of Fundamental Research)
Palash Dey (IIT Kharagpur)
Agent-based
Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets (Page
316)
Yu Bi (King's College London)
Lingxiao Zhao (King's College London)
Jinyun Tong (King's College London)
Zhe Feng (Ki Insurance)
Carmine Ventre (King's College London)
Equilibrium
Analysis in Markets with Asymmetric Utility Functions (Page
325)
Martin Bichler (Technical University of Munich)
Markus Ewert (Technical University of Munich)
Axel Ockenfels (University of Cologne & Max Planck Institute for Research
on Collective Goods)
Temporal
Network Creation Games: The Impact of Non-Locality and Terminals (Page
334)
Davide Bilò (University of L'Aquila)
Sarel Cohen (Hasso Plattner Institute)
Tobias Friedrich (Hasso Plattner Institute)
Hans Gawendowicz (Hasso Plattner Institute)
Nicolas Klodt (Hasso Plattner Institute)
Pascal Lenzner (University of Augsburg)
George Skretas (Hasso Plattner Institute)
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Minimizing
Rosenthal's Potential in Monotone Congestion Games (Page
343)
Vittorio Bilò (University of Salento)
Angelo Fanelli (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE)
Laurent Gourvès (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE)
Christos Tsoufis (Université Paris-Dauphine, Université PSL, CNRS,
LAMSADE)
Cosimo Vinci (University of Salento)
Synergistic
Traffic Assignment (Page
352)
Thomas Bläsius (Karlsruhe Institute of Technology)
Adrian Feilhauer (Karlsruhe Institute of Technology)
Markus Jung (Karlsruhe Institute of Technology)
Moritz Laupichler (Karlsruhe Institute of Technology)
Peter Sanders (Karlsruhe Institute of Technology)
Michael Zündorf (Karlsruhe Institute of Technology)
EnEnv
1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking (Page
361)
Dominik Jacek Bogucki (Institute of Fundamental Technological Research,
Polish Academy of Sciences & IDEAS NCBR)
Lukasz Lepak (Institute of Computer Science, Warsaw University of Technology)
Sonam Parashar (IDEAS NCBR)
Bartlomiej Blachowski (Institute of Fundamental Technological Research,
Polish Academy of Sciences)
Pawel Wawrzynski (IDEAS NCBR)
Monte
Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion
Planning in Dynamic Environments (Page
371)
Lorenzo Bonanni (University of Verona)
Daniele Meli (University of Verona)
Alberto Castellini (University of Verona)
Alessandro Farinelli (University of Verona)
Feature
Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable
ML Monitoring (Page
381)
Gusseppe Bravo-Rocca (Barcelona Supercomputing Center)
Peini Liu (Barcelona Supercomputing Center)
Jordi Guitart (Barcelona Supercomputing Center & Universitat Politècnica
de Catalunya)
Rodrigo M. Carrillo-Larco (Emory University)
Ajay Dholakia (Lenovo Infrastructure Solutions)
David Ellison (Lenovo Infrastructure Solutions)
Computing
Efficient Envy-Free Partial Allocations of Indivisible Goods (Page
390)
Robert Bredereck (Institut für Informatik, TU Clausthal)
Andrzej Kaczmarczyk (Department of Computer Science, The University
of Chicago)
Junjie Luo (School of Mathematics and Statistics, Beijing Jiaotong
University)
Bin Sun (Institut für Informatik, TU Clausthal)
Compositional
Shielding and Reinforcement Learning for Multi-Agent Systems (Page
399)
Asger Horn Brorholt (Aalborg University)
Kim Guldstrand Larsen (Aalborg University)
Christian Schilling (Aalborg University)
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Scalable
Offline Reinforcement Learning for Mean Field Games (Page
408)
Axel Brunnbauer (TU Wien & DatenVorsprung GmbH)
Julian Lemmel (TU Wien & DatenVorsprung GmbH)
Zahra Babaiee (TU Wien & DatenVorsprung GmbH)
Sophie A. Neubauer (DatenVorsprung GmbH)
Radu Grosu (TU Wien)
Welfare
Approximation in Additively Separable Hedonic Games (Page
418)
Martin Bullinger (University of Oxford)
Vaggos Chatziafratis (University of California, Santa Cruz)
Parnian Shahkar (University of California, Irvine)
Towards
Fair and Efficient Public Transportation: A Bus Stop Model (Page
427)
Martin Bullinger (University of Oxford)
Edith Elkind (Northwestern University)
Mohamad Latifian (University of Edinburgh)
Who
Am I Dealing With? Explaining the Designer's Hidden Intentions (Page
436)
Turgay Caglar (Colorado State University)
Sarath Sreedharan (Colorado State University)
Mor Vered (Monash University)
Emit
As You Go: Enumerating Edges of a Spanning Tree (Page
445)
Katrin Casel (Humboldt Universität Berlin)
Stefan Neubert (Hasso Plattner Institute, University of Potsdam)
On
the Fairness of Additive Welfarist Rules (Page
454)
Karen Frilya Celine (National University of Singapore)
Warut Suksompong (National University of Singapore)
Sheung Man Yuen (National University of Singapore)
Game-Theoretically
Secure Distributed Protocols for Fair Allocation in Coalitional Games (Page
463)
T-H. Hubert Chan (The University of Hong Kong)
Qipeng Kuang (The University of Hong Kong)
Quan Xue (The University of Hong Kong)
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Fair
Division in a Variable Setting (Page
472)
Harish Chandramouleeswaran (Chennai Mathematical Institute)
Prajakta Nimbhorkar (Chennai Mathematical Institute)
Nidhi Rathi (Max Planck Institute for Informatics, SIC)
Human-Agent
Coordination in Games under Incomplete Information via Multi-Step Intent (Page
481)
Shenghui Chen (The University of Texas at Austin)
Ruihan Zhao (The University of Texas at Austin)
Sandeep Chinchali (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)
Azorus:
Commitments over Protocols for BDI Agents (Page
490)
Amit K. Chopra (Lancaster University)
Matteo Baldoni (Università degli Studi di Torino)
Samuel H. Christie (North Carolina State University)
Munindar P. Singh (North Carolina State University)
On
the Limits of Agency in Agent-based Models (Page
500)
Ayush Chopra (Massachusetts Institute of Technology)
Shashank Kumar (Massachusetts Institute of Technology)
Nurullah Giray Kuru (Massachusetts Institute of Technology)
Ramesh Raskar (Massachusetts Institute of Technology)
Arnau Quera-Bofarull (University of Oxford)
Computing
Efficient and Envy-Free Allocations under Dichotomous Preferences using
SAT (Page 510)
Ari Conati (University of Helsinki)
Andreas Niskanen (University of Helsinki)
Ronald de Haan (University of Amsterdam)
Matti Järvisalo (University of Helsinki)
Byzantine
Game Theory: Sun Tzu's Boxes (Page
519)
Andrei Constantinescu (ETH Zürich)
Roger Wattenhofer (ETH Zürich)
Selfish
Behavior and Resource Competition in Multi-Agent Systems (Page
529)
Costas Courcoubetis (Chinese University of Hong Kong)
Antonis Dimakis (Athens University of Economics and Business)
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Approximation
Algorithms for Connected Maximum Coverage (Page
538)
Gianlorenzo D'Angelo (Gran Sasso Science Institute (GSSI))
Esmaeil Delfaraz (University of L’Aquila)
Bayesian
Collaborative Bandits with Thompson Sampling for Improved Outreach in
Maternal Health (Page
547)
Arpan Dasgupta (Google DeepMind)
Gagan Jain (Google DeepMind)
Arun Suggala (Google DeepMind)
Karthikeyan Shanmugam (Google Deepmind)
Milind Tambe (Harvard University & Google DeepMind)
Aparna Taneja (Google DeepMind)
Greedy
ABA Learning for Case-Based Reasoning (Page
556)
Emanuele De Angelis (IASI-CNR)
Maurizio Proietti (IASI-CNR)
Francesca Toni (Imperial)
More
Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to
Attack Requests (Page
565)
Ali Safarpoor Dehkordi (Australian National University)
Ahad N. Zehmakan (Australian National University)
Composing
Reinforcement Learning Policies, with Formal Guarantees (Page
574)
Florent Delgrange (Vrije Universiteit Brussel)
Guy Avni (University of Haifa)
Anna Lukina (TU Delft)
Christian Schilling (Aalborg University)
Ann Nowé (Vrije Universiteit Brussel)
Guillermo A. Pérez (University of Antwerp)
Parameterized
Algorithms for Multiagent Pathfinding on Trees (Page
584)
Argyrios Deligkas (Royal Holloway, University of London)
Eduard Eiben (Royal Holloway, University of London)
Robert Ganian (TU Wien)
Iyad Kanj (DePaul University)
M. S. Ramanujan (University of Warwick)
From
Natural Language to Extensive-Form Game Representations (Page
593)
Shilong Deng (University of Liverpool)
Yongzhao Wang (The Alan Turing Institute & University of Liverpool)
Rahul Savani (The Alan Turing Institute & University of Liverpool)
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Safe
Pareto Improvements for Expected Utility Maximizers in Program Games (Page
602)
Anthony DiGiovanni (Center on Long-Term Risk)
Jesse Clifton (Center on Long-Term Risk)
Nicolas Macé (Center on Long-Term Risk)
Hitchhiker's
Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV Teams (Page
611)
Jonathan Diller (Colorado School of Mines)
Qi Han (Colorado School of Mines)
Robert Byers (Colorado School of Mines)
James Dotterweich (DEVCOM Army Research Laboratory)
James Humann (DEVCOM Army Research Laboratory)
Learning
Graph Representation of Agent Diffusers (Page
620)
Youcef Djenouri (University South-Easter Norway & Norwegian Research
Centre)
Nassim Belmecheri (Simula Research Laboratory)
Tomasz Michalak (University of Warsaw)
Jan Dubinski (IDEAS NCBR)
Ahmed Nabil Belbachir (Norwegian Research Centre)
Anis Yazidi (University of Oslo)
Selecting
Interlacing Committees (Page
630)
Chris Dong (Technical University of Munich)
Martin Bullinger (University of Oxford)
Tomasz Was (University of Oxford)
Larry Birnbaum (Northwestern University)
Edith Elkind (Northwestern University)
Simulating
and Evaluating Generative Modeling and Collaborative Filtering in Complex
Social Networks (Page
639)
Wen Dong (Air Force Research Laboratory)
Fairul Mohd-Zaid (Air Force Research Laboratory)
Fast
UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy
Symmetric Noise (Page
649)
Yuriy Dorn (MSU Institute for Artificial Intelligence, Moscow Institute
of Physics and Technology)
Aleksandr Katrutsa (Skoltech, AIRI)
Ilgam Latypov (MSU Institute for Artificial Intelligence, Moscow Institute
of Physics and Technology)
Andrey Pudovikov (MSU Institute for Artificial Intelligence)
Why
Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase
Transitions in the Perturbed Culture (Page
658)
François Durand (Nokia Bell Labs France)
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Boosting
Sortition via Proportional Representation (Page
667)
Soroush Ebadian (University of Toronto)
Evi Micha (University of Southern California)
Temporal
Fair Division of Indivisible Items (Page
676)
Edith Elkind (Northwestern University)
Alexander Lam (Hong Kong Polytechnic University)
Mohamad Latifian (University of Edinburgh)
Tzeh Yuan Neoh (IHPC, CFAR, A*STAR)
Nicholas Teh (University of Oxford)
A
Simple Integration of Epistemic Logic and Reinforcement Learning (Page
686)
Thorsten Engesser (TU Wien)
Thibaut Le Marre (ENS Rennes, ENS de Lyon, CNRS, Université Claude
Bernard Lyon 1, Inria, LIP, UMR 5668)
Emiliano Lorini (IRIT, CNRS, Toulouse University)
François Schwarzentruber (ENS de Lyon, CNRS, Université Claude Bernard
Lyon 1, Inria, LIP, UMR 5668)
Bruno Zanuttini (Université Caen Normandie, ENSICAEN, CNRS, Normandie
Univ, GREYC UMR6072)
Mitigating
Value Conflicts with Computational Theory of Mind (Page
695)
Emre Erdogan (Utrecht University)
Hüseyin Aydin (Utrecht University & Middle East Technical University)
Frank Dignum (Umeå University)
Rineke Verbrugge (University of Groningen)
Pinar Yolum (Utrecht University)
Learning
Real-Life Approval Elections (Page
704)
Piotr Faliszewski (AGH University)
Lukasz Janeczko (AGH University)
Andrzej Kaczmarczyk (Department of Computer Science, The University
of Chicago)
Marcin Kurdziel (AGH University)
Grzegorz Pierczynski (AGH University)
Stanislaw Szufa (CNRS, LAMSADE, Université Paris Dauphine – PSL)
FedRLHF:
A Convergence-Guaranteed Federated Framework for Privacy-Preserving and
Personalized RLHF (Page
713)
Flint Xiaofeng Fan (National University of Singapore)
Cheston Tan (CFAR, A*STAR)
Yew-Soon Ong (CFAR, A*STAR)
Roger Wattenhofer (ETH Zurich)
Wei-Tsang Ooi (National University of Singapore)
Automatic
Verification of Linear Integer Planning Programs via Forgetting in LIAUPF (Page
722)
Liangda Fang (Jinan University & Pazhou Lab)
Shikang Chen (Jinan University)
Xiaoman Wang (Jinan University)
Xiaoyou Lin (Jinan University)
Chenyi Zhang (University of Canterbury)
Qingliang Chen (Jinan University)
Quanlong Guan (Jinan University)
Kaile Su (Yantai University)
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Consistency
Policy with Categorical Critic for Autonomous Driving (Page
731)
Xing Fang (Institute of Automation, CASIA & School of Artificial Intelligence,
UCAS)
Qichao Zhang (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
Haoran Li (Institute of Automation, CASIA & School of Artificial Intelligence,
UCAS)
Dongbin Zhao (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
Translating
Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order
Fragments (Page 740)
Qihui Feng (RWTH Aachen University)
Hannah Wilk (University of Amsterdam & RWTH Aachen University)
Shakil M. Khan (University of Regina)
Gerhard Lakemeyer (RWTH Aachen University)
Eliminating
Majority Illusion (Page
749)
Foivos Fioravantes (Czech Technical University of Prague)
Abhiruk Lahiri (Heinrich Heine University)
Antonio Lauerbach (Julius-Maximilians-University)
Lluís Sabater (Charles University)
Marie Diana Sieper (Julius-Maximilians-University)
Samuel Wolf (Julius-Maximilians-University)
On
the Hardness of Fair Allocation under Ternary Valuations (Page
758)
Zack Fitzsimmons (College of the Holy Cross)
Vignesh Viswanathan (University of Massachusetts)
Yair Zick (University of Massachusetts)
Non-obvious
Manipulability in Hedonic Games with Friends Appreciation Preferences (Page
767)
Michele Flammini (Gran Sasso Science Institute)
Maria Fomenko (Gran Sasso Science Institute)
Giovanna Varricchio (University of Calabria)
Higher-Order
Belief in Incomplete Information MAIDs (Page
776)
Jack Foxabbott (University of Oxford)
Rohan Subramani (Columbia University)
Francis Rhys Ward (Imperial College London)
The
Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery
Rules and Simulations (Page
785)
Fabian Frank (Technical University of Munich)
Patrick Lederer (University of New South Wales)
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Order
Symmetry: A New Fairness Criterion for Assignment Mechanisms (Page
794)
Rupert Freeman (University of Virginia)
Geoffrey Pritchard (University of Auckland)
Mark C. Wilson (University of Massachusetts)
Learning
Collusion in Episodic, Inventory-Constrained Markets (Page
803)
Paul Friedrich (University of Zurich, ETH AI Center)
Barna Pásztor (ETH AI Center, ETH Zurich)
Giorgia Ramponi (University of Zurich, ETH AI Center)
Global
Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry (Page
813)
Yuma Fujimoto (CyberAgent)
Kaito Ariu (CyberAgent)
Kenshi Abe (CyberAgent)
Optimising
Expectation with Guarantees for Window Mean Payoff in Markov Decision
Processes (Page 820)
Pranshu Gaba (Tata Institute of Fundamental Research)
Shibashis Guha (Tata Institute of Fundamental Research)
Changing
the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent
Systems (Page 829)
Rustam Galimullin (University of Bergen)
Maksim Gladyshev (Utrecht University)
Munyque Mittelmann (University of Naples Federico II)
Nima Motamed (Utrecht University)
Fairly
Allocating Goods in Parallel (Page
839)
Rohan Garg (Purdue University)
Alexandros Psomas (Purdue University)
Voter
Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs
with Agnostic Nodes (Page
848)
Marcelo Matheus Gauy (São Paulo State University)
Anna Abramishvili (King's College London)
Eduardo Colli (University of São Paulo)
Tiago Madeira (University of São Paulo)
Frederik Mallmann-Trenn (King's College London)
Vinícius Franco Vasconcelos (University of São Paulo)
David Kohan Marzagao (King's College London)
|
|
On
Learning Informative Trajectory Embeddings for Imitation, Classification
and Regression (Page
858)
Zichang Ge (Singapore Management University)
Changyu Chen (Singapore Management University)
Arunesh Sinha (Rutgers University)
Pradeep Varakantham (Singapore Management University)
MOSMAC:
A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective
Tasks (Page 867)
Minghong Geng (Singapore Management University)
Shubham Pateria (Singapore Management University)
Budhitama Subagdja (Singapore Management University)
Ah-Hwee Tan (Singapore Management University)
Certified
Guidance for Planning with Deep Generative Models (Page
877)
Francesco Giacomarra (University of Trieste)
Mehran Hosseini (King's College London)
Nicola Paoletti (King’s Colledge London)
Francesca Cairoli (University of Trieste)
Predictability
Awareness for Efficient and Robust Multi-Agent Coordination (Page
886)
Román Chiva Gil (Delft University of Technology)
Daniel Jarne Ornia (University of Oxford)
Khaled A. Mustafa (Delft University of Technology)
Javier Alonso Mora (Delft University of Technology)
Simplifying
Imperfect Recall Games (Page
895)
Hugo Gimbert (LaBRI, CNRS, Université de Bordeaux)
Soumyajit Paul (University of Liverpool)
B. Srivathsan (Chennai Mathematical Institute, CNRS, ReLaX, IRL 2000)
Policy
Graphs and Intention: Answering 'Why' and 'How' from a Telic Perspective (Page
904)
Victor Gimenez-Abalos (Barcelona Supercomputing Center)
Sergio Alvarez-Napagao (Universidad Politécnica de Cataluna & Barcelona
Supercomputing Center)
Adrián Tormos (Barcelona Supercomputing Center)
Ulises Cortés (Universidad Politécnica de Cataluna & Barcelona Supercomputing
Center)
Javier Vázquez-Salceda (Universidad Politécnica de Cataluna)
Approximating
One-Sided and Two-Sided Nash Social Welfare With Capacities (Page
914)
Salil Gokhale (IIT Delhi)
Harshul Sagar (IIT Delhi)
Rohit Vaish (IIT Delhi)
Jatin Yadav (IIT Delhi)
|
|
Fairness
and Optimality in Routing (Page
923)
Sreenivas Gollapudi (Google Research)
Kostas Kollias (Google Research)
Alkmini Sgouritsa (Athens University of Economics and Business, and
Archimedes/Athena RC)
Ali Kemal Sinop (Google Research)
Extending
Consensus-based Task Allocation Algorithms with Bid Intercession to Foster
Mixed-Initiative (Page
932)
Victor Guillet (DTIS, ONERA, Université de Toulouse)
Charles Lesire (DTIS, ONERA, Université de Toulouse)
Gauthier Picard (DTIS, ONERA, Université de Toulouse)
Christophe Grand (DTIS, ONERA, Université de Toulouse)
On
the Power of Temporal Locality on Online Routing Problems (Page
941)
Swapnil Guragain (Kent State University)
Gokarna Sharma (Kent State University)
Coherence-Driven
Multimodal Safety Dialogue with Active Learning for Embodied Agents (Page
950)
Sabit Hassan (University of Pittsburgh)
Hye-Young Chung (Northeastern University)
Xiang Zhi Tan (Northeastern University)
Malihe Alikhani (Northeastern University)
Tackling
Uncertainties in Multi-Agent Reinforcement Learning through Integration
of Agent Termination Dynamics (Page
960)
Somnath Hazra (IIT Kharagpur)
Pallab Dasgupta (Synopsys)
Soumyajit Dey (IIT Kharagpur)
Learning
in Games with Progressive Hiding (Page
969)
Benjamin Heymann (Criteo AI Lab)
Marc Lanctot (Google DeepMind)
LTL
Verification of Memoryful Neural Agents (Page
978)
Mehran Hosseini (King's College London)
Alessio Lomuscio (Imperial College London)
Nicola Paoletti (King's College London)
|
|
Automating
Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian
Network (Page 988)
Vincent Hsiao (NRC Postdoctoral Fellow, Naval Research Laboratory)
Mark Roberts (Naval Research Laboratory)
Laura M. Hiatt (Naval Research Laboratory)
George Konidaris (Brown University)
Dana S. Nau (University of Maryland)
PMAT:
Optimizing Action Generation Order in Multi-Agent Reinforcement Learning (Page
997)
Kun Hu (National University of Defense Technology)
Muning Wen (Shanghai Jiao Tong University)
Xihuai Wang (Shanghai Jiao Tong University)
Shao Zhang (Shanghai Jiao Tong University)
Yiwei Shi (University of Bristol)
Minne Li (Intelligent Game and Decision Lab)
Minglong Li (National University of Defense Technology)
Ying Wen (Shanghai Jiao Tong University)
Truthful
Mechanisms for Linear Bandit Games with Private Contexts (Page
1006)
Yiting Hu (Singapore University of Technology and Design)
Lingjie Duan (Singapore University of Technology and Design)
CAMP:
Collaborative Attention Model with Profiles for Vehicle Routing Problems (Page
1015)
Chuanbo Hua (KAIST & Omelet)
Federico Berto (KAIST & Omelet)
Jiwoo Son (Omelet)
Seunghyun Kang (Omelet)
Changhyun Kwon (KAIST & Omelet)
Jinkyoo Park (KAIST & Omelet)
Human-Aligned
Skill Discovery: Balancing Behaviour Exploration and Alignment (Page
1025)
Maxence Hussonnois (A2I2, Deakin University)
Thommen George Karimpanal (School of IT, Deakin University)
Santu Rana (A2I2, Deakin University)
Responsible
Uplift Modeling (Page
1034)
Lihi Idan (Texas A&M University)
Ming Li (Nanjing University)
Taming
Multi-Agent Reinforcement Learning with Estimator Variance Reduction (Page
1042)
Taher Jafferjee (Huawei R&D)
Juliusz Ziomek (Oxford University)
Tianpei Yang (Nanjing University)
Zipeng Dai (Beijing Institute of Technology)
Jianhong Wang (Bristol University)
Matthew E. Taylor (University of Alberta)
Kun Shao (Huawei R&D)
Jun Wang (University College London)
David Mguni (Queen Mary University London)
|
|
Probabilistic
Timed ATL (Page 1051)
Wojciech Jamroga (Institute of Computer Science, Polish Academy of
Sciences & SnT, University of Luxembourg)
Marta Kwiatkowska (Institute of Computer Science, PAS & Department
of Computer Science, University of Oxford)
Wojciech Penczek (Institute of Computer Science, Polish Academy of
Sciences)
Laure Petrucci (LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord)
Teofil Sidoruk (Institute of Computer Science, Polish Academy of Sciences)
Tackling
Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement
Learning (Page 1060)
Jiaxuan Jiang (Tsinghua University & Shanghai Qi Zhi Institute)
Ling Pan (Hong Kong University of Science and Technology)
Lin Zhou (DiDi Chuxing Technology Co.)
Longbo Huang (Tsinghua University)
Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
Full
Proportional Justified Representation (Page
1070)
Yusuf Hakan Kalayci (University of Southern California)
Jiasen Liu (University of Southern California)
David Kempe (University of Southern California)
A
View of the Certainty-Equivalence Method for PAC RL as an Application
of the Trajectory Tree Method (Page
1079)
Shivaram Kalyanakrishnan (Indian Institute of Technology Bombay)
Sheel Shah (Indian Institute of Technology Bombay)
Santhosh Kumar Guguloth (Indian Institute of Technology Bombay)
Game
of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large
Language Models (Page
1088)
Benjamin Kempinski (Radboud University)
Ian Gemp (Google DeepMind)
Kate Larson (Google DeepMind & University of Waterloo)
Marc Lanctot (Google DeepMind)
Yoram Bachrach (Meta)
Tal Kachman (Radboud University)
Causes
and Strategies in Multiagent Systems (Page
1098)
Sylvia S. Kerkhove (Utrecht University)
Natasha Alechina (Open University & Utrecht University)
Mehdi Dastani (Utrecht University)
GUIDE-CoT:
Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory
using Chain-of-Thought (Page
1107)
Sungsik Kim (Kookmin University)
Janghyun Baek (Korea University)
Jinkyu Kim (Korea University)
Jaekoo Lee (Kookmin University)
|
|
Practical
Abstractions for Model Checking Continuous-Time Multi-Agent Systems (Page
1117)
Yan Kim (Interdisciplinary Centre for Security, Reliability, and Trust,
SnT, University of Luxemburg)
Wojciech Jamroga (Institute of Computer Science, PAS & Interdisciplinary
Centre for Security, Reliability, and Trust, SnT, University of Luxembourg)
Wojciech Penczek (Institute of Computer Science, Polish Academy of
Science)
Laure Petrucci (LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord)
k-ApprovalVeto:
A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection (Page
1127)
Fatih Erdem Kizilkaya (University of Southern California)
David Kempe (University of Southern California)
Robustness
of Epistemic Gossip Protocols Against Data Loss (Page
1136)
Yoshikatsu Kobayashi (Department of Computer Science, Univesity of
Tsukuba)
Koji Hasebe (Department of Computer Science, Univesity of Tsukuba)
Ranking
Joint Policies in Dynamic Games using Evolutionary Dynamics (Page
1145)
Natalia Koliou (University of Piraeus)
George Vouros (University of Piraeus)
Uncertain
Machine Ethics Planning (Page
1154)
Simon Kolker (University of Manchester)
Louise A. Dennis (University of Manchester)
Ramon Fraga Pereira (University of Manchester)
Mengwei Xu (Newcastle University)
Policy
Abstraction and Nash Refinement in Tree-Exploiting PSRO (Page
1163)
Christine Konicki (Michigan Tech Research Institute)
Mithun Chakraborty (University of Michigan)
Michael P. Wellman (University of Michigan)
Free
Argumentative Exchanges for Explaining Image Classifiers (Page
1172)
Avinash Kori (Imperial College London)
Antonio Rago (Imperial College London)
Francesca Toni (Imperial College London)
|
|
Offline
Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct
Preference Optimization (Page
1181)
Qian Kou (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Mingyang Li (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Zeyang Liu (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Long Qian (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Zhuoran Chen (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Lipeng Wan (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Xingyu Chen (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Xuguang Lan (National Key Laboratory of Human-Machine Hybrid Augmented
Intelligence, National Engineering Research Center for Visual Information
and Application Institute of Artificial Intelligence and Robotics, Xi'an
Jiaotong University)
Game
Theory with Simulation in the Presence of Unpredictable Randomisation (Page
1191)
Vojtech Kovarík (Czech Technical Univeresity in Prague)
Nathaniel Sauerberg (University of Texas at Austin)
Lewis Hammond (University of Oxford)
Vincent Conitzer (Carnegie Mellon University)
Tighter
Value-Function Approximations for POMDPs (Page
1200)
Merlijn Krale (Radboud University)
Wietze Koops (Lund University & University of Copenhagen)
Sebastian Junges (Radboud University)
Thiago D. Simão (Eindhoven University of Technology)
Nils Jansen (Ruhr-Universität Bochum)
The
Bakers and Millers Game with Restricted Locations (Page
1209)
Simon Krogmann (Hasso Plattner Institute, University of Potsdam)
Pascal Lenzner (Institute of Computer Science, University of Augsburg)
Alexander Skopalik (Mathematics of Operations Research, University
of Twente)
Near-Linear
Time Leader Election in Multiagent Networks (Page
1218)
Ajay D. Kshemkalyani (University of Illinois at Chicago)
Manish Kumar (Indian Institute of Technology Madras)
Anisur Rahaman Molla (Indian Statistical Institute Kolkata)
Gokarna Sharma (Kent State University)
Dynamic
Coalition Structure Detection in Natural-Language-based Interactions (Page
1227)
Abhishek N. Kulkarni (University of Texas at Austin)
Andy Liu (Carnegie Mellon University)
Jean-Raphaël Gaglione (University of Texas at Austin)
Daniel Fried (Carnegie Mellon University)
Ufuk Topcu (University of Texas at Austin)
Emergence
of Recursive Language through Bootstrapping and Iterated Learning (Page
1235)
Vikas Kumar (TCS Research)
Ajin George Joseph (Indian Institute of Technology Tirupati)
|
|
AdaCred:
Adaptive Causal Decision Transformers with Feature Crediting (Page
1244)
Hemant Kumawat (Georgia Institute of Technology)
Saibal Mukhopadhyay (Georgia Institute of Technology)
Soft
Condorcet Optimization for Ranking of General Agents (Page
1253)
Marc Lanctot (Google DeepMind)
Kate Larson (Google DeepMind & University of Waterloo)
Michael Kaisers (Google DeepMind)
Quentin Berthet (Google DeepMind)
Ian Gemp (Google DeepMind)
Manfred Diaz (MIla & University of Montreal)
Roberto-Rafael Maura-Rivero (Google DeepMind, LSE)
Yoram Bachrach (Meta)
Anna Koop (Google DeepMind)
Doina Precup (Google DeepMind)
MacLight:
Multi-scene Aggregation Convolutional Learning for Traffic Signal Control (Page
1263)
Sunbowen Lee (College of Science Hubei Province Key Laboratory of System
Science in Metallurgical Process, Wuhan University of Science and Technology)
Hongqin Lyu (State Key Lab of Processors, Institute of Computing Technology,
Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Yicheng Gong (College of Science Hubei Province Key Laboratory of System
Science in Metallurgical Process, Wuhan University of Science and Technology)
Yingying Sun (College of Science, Wuhan University of Science and Technology)
Chao Deng (School of Automobile and Traffic Engineering, Wuhan University
of Science and Technology)
Timed
Obstruction Logic: A Timed Approach to Dynamic Game Reasoning (Page
1272)
Jean Leneutre (Télécom Paris, Institut Polytechnique de Paris)
Vadim Malvone (Télécom Paris, Institut Polytechnique de Paris)
James Ortiz (Télécom Paris, Institut Polytechnique de Paris)
Curiosity-Driven
Partner Selection Accelerates Convention Emergence in Language Games (Page
1282)
Chin-wing Leung (University of Warwick)
Paolo Turrini (University of Warwick)
Ann Nowé (Vrije Universiteit Brussel)
Self-Supervised
Multi-Agent Diversity with Nonparametric Entropy Maximization (Page
1291)
Tianxu Li (College of Computer Science and Technology, Nanjing University
of Aeronautics and Astronautics)
Kun Zhu (College of Computer Science and Technology, Nanjing University
of Aeronautics and Astronautics)
OGS-SLAM:
Hybrid ORB-Gaussian Splatting SLAM (Page
1300)
Xiaohan Li (University of Science and Technology of China)
Wenxiang Shen (Tongji University)
Dong Liu (University of Science and Technology of China)
Jun Wu (Fudan University)
|
|
Rational
Capability in Concurrent Games (Page
1309)
Yinfeng Li (IRIT, CNRS, University of Toulouse)
Emiliano Lorini (IRIT, CNRS, University of Toulouse)
Munyque Mittelmann (University of Naples Federico II)
Nucleolus
Credit Assignment for Effective Coalitions in Multi-agent Reinforcement
Learning (Page 1318)
Yugu Li (University of South Australia)
Zehong Cao (University of South Australia)
Jianglin Qiao (University of South Australia)
Siyi Hu (University of South Australia)
Dynamic
Sight Range Selection in Multi-Agent Reinforcement Learning (Page
1327)
Wei-Chen Liao (Department of Computer Science, National Yang Ming Chiao
Tung University)
Ti-Rong Wu (Institute of Information Science, Academia Sinica)
I-Chen Wu (Department of Computer Science, National Yang Ming Chiao
Tung University)
Adaptive
Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with
Temporal Logic Constraints (Page
1336)
Xiaoshan Lin (University of Minnesota, Twin Cities)
Roberto Tron (Boston University)
Reinforcement
Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous
Agents and Long Term Rewards (Page
1345)
Fangqi Liu (Vanderbilt University)
Rishav Sen (Vanderbilt University)
Jose Paolo Talusan (Vanderbilt University)
Ava Pettet (Nissan Advanced Technology Center - Silicon Valley)
Aaron Kandel (Nissan Advanced Technology Center - Silicon Valley)
Yoshinori Suzue (Nissan Advanced Technology Center - Silicon Valley)
Ayan Mukhopadhyay (Vanderbilt University)
Abhishek Dubey (Vanderbilt University)
Efficient
and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits (Page
1354)
Jiayuan Liu (Carnegie Mellon University)
Siwei Wang (Microsoft Research Asia)
Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
Teamwork
Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation (Page
1362)
Siyu Liu (Arizona State University)
Rida Bazzi (Arizona State University)
Fei Fang (Carnegie Mellon University)
Tiffany Bao (Arizona State University)
|
|
Games
in Public Announcement: How to Reduce System Losses in Optimistic Blockchain
Mechanisms (Page
1371)
Siyuan Liu (School of Software and Microelectronics, Peking University)
Yulong Zeng (Beijing YeeZTech Ltd)
Data
Pricing for Graph Neural Networks without Pre-purchased Inspection (Page
1380)
Yiping Liu (The University of Auckland)
Mengxiao Zhang (The University of Auckland)
Jiamou Liu (The University of Auckland)
Song Yang (The University of Auckland)
Leveraging
Score-based Models for Generating Penalization in Model-based Offline
Reinforcement Learning (Page
1389)
Zeyuan Liu (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Zhirui Fang (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Jiafei Lyu (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Xiu Li (Tsinghua Shenzhen International Graduate School, Tsinghua University)
MAGNET:
A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment (Page
1399)
Donald Loveland (University of Michigan)
James Usevitch (Brigham Young University)
Zachary Serlin (MIT Lincoln Laboratory)
Danai Koutra (University of Michigan)
Rajmonda Caceres (MIT Lincoln Laboratory)
Multi-Ship
Future Interaction Trajectory Prediction via Pre-Initializer Diffusion
Model (Page 1408)
Kun Ma (Harbin Engineering University)
Qilong Han (Harbin Engineering University)
Jingzheng Yao (Harbin Engineering University)
Minimizing
Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding (Page
1418)
Amir Maliah (Ben-Gurion University)
Dor Atzmon (Bar-Ilan University)
Ariel Felner (Ben-Gurion University)
Beyond
Goal Recognition: A Reinforcement Learning-based Approach to Inferring
Agent Behaviour (Page
1427)
Sheryl Mantik (RMIT University)
Michael Dann (viewa.com)
Minyi Li (jahan.ai)
Huong Ha (RMIT University)
Julie Porteous (RMIT University)
|
|
Multi-agent
Multi-armed Bandits with Minimum Reward Guarantee Fairness (Page
1436)
Piyushi Manupriya (IIT Hyderabad)
Himanshu (IIT Hyderabad)
SakethaNath Jagarlapudi (IIT Hyderabad)
Ganesh Ghalme (IIT Hyderabad)
On
Stateful Value Factorization in Multi-Agent Reinforcement Learning (Page
1445)
Enrico Marchesini (Massachusetts Institute of Technology)
Andrea Baisero (Northeastern University)
Rupali Bhati (Northeastern University)
Christopher Amato (Northeastern University)
ApproxED:
Approximate Exploitability Descent via Learned Best Responses (Page
1454)
Carlos Martin (Carnegie Mellon University)
Tuomas Sandholm (Carnegie Mellon University, Strategy Robot, Inc.,
Optimized Markets, Inc., & Strategic Machine, Inc.)
Improving
Policy Optimization via ε-Retrain (Page
1464)
Luca Marzari (University of Verona)
Priya L. Donti (Massachusetts Institute of Technology)
Changliu Liu (Carnegie Mellon University)
Enrico Marchesini (Massachusetts Institute of Technology)
Discovery
and Deployment of Emergent Robot Swarm Behaviors via Representation Learning
and Real2Sim2Real Transfer (Page
1473)
Connor Mattson (University of Utah)
Varun Raveendra (University of Utah)
Ricardo Vega (George Mason University)
Cameron Nowzari (George Mason University)
Daniel S. Drew (University of Hawaii at Manoa)
Daniel S. Brown (University of Utah)
Generalised
BDI Planning (Page
1483)
Felipe Meneguzzi (University of Aberdeen & PUCRS)
Ramon Fraga Pereira (University of Manchester & UFRGS)
Nir Oren (University of Aberdeen)
Multi-agent
Reinforcement Learning in the All-or-Nothing Public Goods game on Networks (Page
1492)
Benedikt Valentin Meylahn (University of Amsterdam)
|
|
Leveraging
Large Language Models for Effective and Explainable Multi-Agent Credit
Assignment (Page
1501)
Kartik Nagpal (University of California, Berkeley)
Dayi Dong (University of California, Berkeley)
Negar Mehr (University of California, Berkeley)
Explaining
Facial Expression Recognition (Page
1511)
Sanjeev Nahulanthran (Monash University)
Leimin Tian (CSIRO Robotics)
Dana Kulic (Monash University)
Mor Vered (Monash University)
Evaluation-Time
Policy Switching for Offline Reinforcement Learning (Page
1520)
Natinael Solomon Neggatu (University of Warwick)
Jeremie Houssineau (Nanyang Technological University)
Giovanni Montana (University of Warwick)
Resource
Task Games (Page
1529)
Jessica L. Newman (University of Southampton)
Enrico Gerding (University of Southampton)
Enrico Marchioni (University of Southampton)
Baharak Rastegari (University of Southampton)
Personality-Driven
Decision Making in LLM-Based Autonomous Agents (Page
1538)
Lewis Newsham (Lancaster University)
Daniel Prince (Lancaster University)
Contrastive
Explainable Clustering with Differential Privacy (Page
1548)
DungXXX Nguyen (Department of Computer Science, and Biocomplexity Institute,
University of Virginia)
Ariel Vetzler (Department of Computer Science, Bar-Ilan University)
Sarit Kraus (Department of Computer Science, Bar-Ilan University)
Anil Vullikanti (Department of Computer Science, and Biocomplexity
Institute, University of Virginia)
DUPRE:
Data Utility Prediction for Efficient Data Valuation (Page
1557)
Kieu Thao Nguyen Nguyen (National University of Singapore)
Rachael Hwee Ling Sim (National University of Singapore)
Quoc Phong Nguyen (A2I2, Deakin University)
See-Kiong Ng (National University of Singapore)
Bryan Kian Hsiang Low (National University of Singapore)
|
|
Counterfactual
Explanations for Model Ensembles Using Entropic Risk Measures (Page
1566)
Erfaun Noorani (University of Maryland)
Pasan Dissanayake (University of Maryland)
Faisal Hamman (University of Maryland)
Sanghamitra Dutta (University of Maryland)
Conformal
Set-based Human-AI Complementarity with Multiple Experts (Page
1576)
Helbert Paat (The Hong Kong Polytechnic University)
Guohao Shen (The Hong Kong Polytechnic University)
Together
We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated
Heterogeneous Plays (Page
1586)
Aritra Pal (TCS Research)
Anandsingh Chauhan (TCS Research)
Mayank Baranwal (TCS Research)
Smooth
Information Gathering in Two-Player Noncooperative Games (Page
1595)
Fernando Palafox (University of Texas at Austin)
Jesse Milzman (DEVCOM Army Research Laboratory)
Dong Ho Lee (University of Texas at Austin)
Ryan Park (University of Texas at Austin)
David Fridovich-Keil (University of Texas at Austin)
Hierarchical
Learning-based Graph Partition for Large-scale Vehicle Routing Problems (Page
1604)
Yuxin Pan (The Hong Kong University of Science and Technology)
Ruohong Liu (University of Oxford)
Yize Chen (University of Alberta)
Zhiguang Cao (Singapore Management University)
Fangzhen Lin (The Hong Kong University of Science and Technology)
An
Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms
in Complex Fully Cooperative Tasks (Page
1613)
George Papadopoulos (University of Piraeus)
Andreas Kontogiannis (NTUA & Archimedes AI)
Foteini Papadopoulou (Radboud University)
Chaido Poulianou (University of Piraeus)
Ioannis Koumentis (University of Piraeus)
George Vouros (University of Piraeus)
Enhancing
Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent
Reinforcement Learning (Page
1623)
Kexing Peng (School of Computer Science, Nanjing University of Information
Science & Technology)
Pengyi Li (College of Intelligence and Computing, Tianjin University)
Jianye Hao (College of Intelligence and Computing, Tianjin University)
|
|
Multi-objective
Reinforcement Learning with Nonlinear Preferences: Provable Approximation
for Maximizing Expected Scalarized Return (Page
1632)
Nianli Peng (Harvard University)
Muhang Tian (Duke University)
Brandon Fain (Duke University)
ShipNaviSim:
Data-Driven Simulation for Real-World Maritime Navigation (Page
1641)
Quang Anh Pham (Singapore Management University)
Janaka Chathuranga Brahmanage (Singapore Management University)
Akshat Kumar (Singapore Management University)
Artificial
Agents Mitigate The Punishment Dilemma of Indirect Reciprocity (Page
1650)
Alexandre S. Pires (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)
Anytime
Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning
Framework (Page 1660)
Subham Pokhriyal (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Ganesh Ghalme (Indian Institute of Technology Hyderabad)
Vaneet Aggarwal (Purdue University)
Indifferential
Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark
Pool Auctions (Page
1670)
Antigoni Polychroniadou (J.P. Morgan AI Research, J.P. Morgan AlgoCRYPT
CoE)
T-H. Hubert Chan (University of Hong Kong)
Adya Agrawal (J.P. Morgan Chase)
EconoJax:
A Fast & Scalable Economic Simulation in JAX (Page
1679)
Koen Ponse (LIACS, Leiden University)
Aske Plaat (LIACS, Leiden University)
Niki van Stein (LIACS, Leiden University)
Thomas M. Moerland (LIACS, Leiden University)
Decentralized
Planning Using Probabilistic Hyperproperties (Page
1688)
Francesco Pontiggia (TU Wien)
Filip Macák (Brno University of Technology)
Roman Andriushchenko (Brno University of Technology)
Michele Chiari (TU Wien)
Milan Češka (Brno University of Technology)
|
|
Uncertainty
Expression for Human-Robot Task Communication (Page
1698)
David Porfirio (U.S. Naval Research Laboratory)
Mark Roberts (U.S. Naval Research Laboratory)
Laura M. Hiatt (U.S. Naval Research Laboratory)
Combining
Planning and Reinforcement Learning for Solving Relational Multiagent
Domains (Page 1708)
Nikhilesh Prabhakar (The University of Texas at Dallas)
Ranveer Singh (The University of Texas at Dallas)
Harsha Kokel (IBM Research)
Sriraam Natarajan (The University of Texas at Dallas)
Prasad Tadepalli (Oregon State University)
Reinforcement
Learning Based Simulated Annealing (Page
1718)
Nathan Qiu (Stony Brook University)
Daniel Liang (Stony Brook University)
Planning,
Scheduling, and Execution on the Moon: The CADRE Technology Demonstration
Mission (Page 1727)
Gregg Rabideau (Jet Propulsion Laboratory - California Institute of
Technology)
Joseph Russino (Jet Propulsion Laboratory - California Institute of
Technology)
Andrew Branch (Jet Propulsion Laboratory - California Institute of
Technology)
Nihal Dhamani (Jet Propulsion Laboratory - California Institute of
Technology)
Tiago Stegun Vaquero (Jet Propulsion Laboratory - California Institute
of Technology)
Steve Chien (Jet Propulsion Laboratory - California Institute of Technology)
Jean-Pierre de la Croix (Jet Propulsion Laboratory - California Institute
of Technology)
Federico Rossi (Jet Propulsion Laboratory - California Institute of
Technology)
Reputation-Filtered
Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative
Multi-agent Settings (Page
1736)
Hassan Raissouni (Ai Movement, Mohammed VI Polytechnic University)
Wissal Bekhti (Ai Movement, Mohammed VI Polytechnic University)
Btissam El Khamlichi (Ai Movement, Mohammed VI Polytechnic University)
Amal El Fallah Seghrouchni (Ai Movement, Mohammed VI Polytechnic University)
Bottom-Up
Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning (Page
1745)
Tianyu Ren (University of Manchester)
Xuan Yao (Southeast University)
Yang Li (University of Manchester)
Xiao-Jun Zeng (University of Manchester)
The
Effect of Agent-based Feedback on Prosociality in Social Dilemmas (Page
1755)
Jennifer Renoux (Örebro University)
Filipa Correia (Interactive Technologies Institute)
Joana Campos (INESC-ID and Instituto Superior Técnico, University of
Lisbon)
Lucas Morillo-Mendez (Örebro University)
Neziha Akalin (Jönköping University)
Fernando P. Santos (University of Amsterdam)
Ana Paiva (INESC-ID and Instituto Superior Técnico, University of Lisbon)
|
|
Real-World
Testing Matters in Reinforcement Learning for Education (Page
1764)
Anna Riedmann (Socially Interactive Agents, University of Würzburg)
Carlo D'Eramo (Center for Artificial Intelligence and Data Science,
University of Würzburg & Technical University of Darmstadt)
Birgit Lugrin (Socially Interactive Agents, University of Würzburg)
Divide
and Conquer: Provably Unveiling the Pareto Front with Multi-Objective
Reinforcement Learning (Page
1774)
Willem Röpke (Vrije Universiteit Brussel)
Mathieu Reymond (Mila - Quebec Artificial Intelligence Institute &
Vrije Universiteit Brussel)
Patrick Mannion (University of Galway)
Diederik M. Roijers (City of Amsterdam & Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Roxana RadulescuXXX (Utrecht University & Vrije Universiteit Brussel)
On
Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks (Page
1784)
Daniel J. Rosenkrantz (University of Virginia)
Madhav V. Marathe (University of Virginia)
Zirou Qiu (University of Virginia)
S. S. Ravi (University of Virginia)
Richard E. Stearns (University of Virginia)
Factorised
Active Inference for Strategic Multi-Agent Interactions (Page
1793)
Jaime Ruiz-Serra (Centre for Complex Systems, The University of Sydney)
Patrick Sweeney (Centre for Complex Systems, The University of Sydney)
Michael S. Harré (Centre for Complex Systems, The University of Sydney)
Multi-Objective
Planning with Contextual Lexicographic Reward Preferences (Page
1803)
Pulkit Rustagi (Oregon State University)
Yashwanthi Anand (Oregon State University)
Sandhya Saisubramanian (Oregon State University)
Gricean
Norms as a Basis for Effective Collaboration (Page
1812)
Fardin Saad (North Carolina State University)
Pradeep K. Murukannaiah (Delft University of Technology)
Munindar P. Singh (North Carolina State University)
Surprise!
Surprise! Learn and Adapt (Page
1821)
Huma Samin (University of Exeter)
Dylan Walton (Durham University)
Nelly Bencomo (Durham University)
|
|
Training
Language Models for Social Deduction with Multi-Agent Reinforcement Learning (Page
1830)
Bidipta Sarkar (Stanford University)
Warren Xia (Stanford University)
C. Karen Liu (Stanford University)
Dorsa Sadigh (Stanford University)
Formalising
Overdetermination in a Labelled Transition System (Page
1840)
Camilo Sarmiento (Lip6, Sorbonne Université)
Gauvain Bourgne (Lip6, Sorbonne Université)
Jean-Gabriel Ganascia (Lip6, Sorbonne Université)
Ensemble
Value Functions for Efficient Exploration in Multi-Agent Reinforcement
Learning (Page 1849)
Lukas Schäfer (University of Edinburgh)
Oliver Slumbers (University College London)
Stephen McAleer (Carnegie Mellon University)
Yali Du (King's College London)
Stefano V. Albrecht (University of Edinburgh)
David Mguni (Queen Mary University, London)
Candidate
Nomination for Condorcet-consistent Voting Rules (Page
1858)
Ildikó Schlotter (HUN-REN Centre for Economic and Regional Studies)
Katarína Cechlárová (P.J. Šafárik University)
The
Strong Core of Housing Markets with Partial Order Preferences (Page
1867)
Ildikó Schlotter (HUN-REN Centre for Economic and Regional Studies)
Lydia Mirabel Mendoza-Cadena (MTA-ELTE Matroid Optimization Research
Group, Department of Operations Research, Eötvös Lorand University)
$Socratic:$
Enhancing Human Teamwork via AI-enabled Coaching (Page
1876)
Sangwon Seo (Rice University)
Bing Han (Rice University)
Rayan E. Harari (Harvard Medical School)
Roger D. Dias (Harvard Medical School)
Marco A. Zenati (Harvard Medical School)
Eduardo Salas (Rice University)
Vaibhav Unhelkar (Rice University)
Hierarchical
Imitation Learning of Team Behavior from Heterogeneous Demonstrations (Page
1886)
Sangwon Seo (Rice University)
Vaibhav Unhelkar (Rice University)
|
|
Towards
Efficient Online Goal Recognition through Deep Learning (Page
1895)
Lorenzo Serina (Università degli Studi di Brescia)
Mattia Chiari (Università degli Studi di Brescia)
Alfonso Emilio Gerevini (Università degli Studi di Brescia)
Luca Putelli (Università degli Studi di Brescia)
Ivan Serina (Università degli Studi di Brescia)
Learning
Symbolic Task Decompositions for Multi-Agent Teams (Page
1904)
Ameesh Shah (UC Berkeley)
Niklas Lauffer (UC Berkeley)
Thomas Chen (UC Berkeley)
Nikhil Pitta (UC Berkeley)
Sanjit A. Seshia (UC Berkeley)
Learning
with Limited Shared Information in Multi-agent Multi-armed Bandit (Page
1914)
Junning Shao (Tsinghua University & Shanghai Qi Zhi Institute)
Siwei Wang (Microsoft Resea)
Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
Incentivizing
Truth Exploration and Honest Reporting: A Contract Design Approach (Page
1923)
Yuming Shao (Tsinghua University)
Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
xSRL:
Safety-Aware Explainable Reinforcement Learning - Safety as a Product
of Explainability (Page
1932)
Risal Shahriar Shefin (Wake Forest University)
Md Asifur Rahman (Wake Forest University)
Thai Le (Indiana University)
Sarra Alqahtani (Wake Forest University)
Modeling
the Centaur: Human-Machine Synergy in Sequential Decision Making (Page
1941)
David Shoresh (The Edmond and Lily Safra Center for Brain Sciences,
Hebrew University)
Yonatan Loewenstein (The Edmond and Lily Safra Center for Brain Sciences
Departments of Neurobiology and Cognitive Sciences and the Federmann Center
for the Study of Rationality, Hebrew University)
Tackling
Temporal Deontic Challenges with Equilibrium Logic (Page
1950)
Davide Soldà (TU Wien)
Pedro Cabalar (University of A Coruña)
Agata Ciabattoni (TU Wien)
Emery Neufeld (TU Wien)
|
|
Housing
Market on Networks (Page
1959)
Xinwei Song (Key Laboratory of Intelligent Perception and Human-Machine
Collaboration, ShanghaiTech University)
Tianyi Yang (Key Laboratory of Intelligent Perception and Human-Machine
Collaboration, ShanghaiTech University)
Dengji Zhao (Key Laboratory of Intelligent Perception and Human-Machine
Collaboration, ShanghaiTech University)
An
Organizationally-Oriented Approach to Enhancing Explainability and Control
in Multi-Agent Reinforcement Learning (Page
1968)
Julien Soulé (Univ. Grenoble Alpes)
Jean-Paul Jamont (Univ. Grenoble Alpes)
Michel Occello (Univ. Grenoble Alpes)
Louis-Marie Traonouez (Thales Land and Air Systems, BU IAS)
Paul Théron (AICA IWG)
Revisiting
Communication Efficiency in Multi-Agent Reinforcement Learning from the
Dimensional Analysis Perspective (Page
1977)
Chuxiong Sun (National Key Laboratory of Space Integrated Information
System, Institute of Software, Chinese Academy of Sciences)
Peng He (Beijing University of Posts and Telecommunications)
Rui Wang (National Key Laboratory of Space Integrated Information System,
Institute of Software, Chinese Academy of Sciences & State Key Laboratory
of Intelligent Game)
Changwen Zheng (National Key Laboratory of Space Integrated Information
System, Institute of Software, Chinese Academy of Sciences)
Salience-Invariant
Consistent Policy Learning for Generalization in Visual Reinforcement
Learning (Page 1987)
Jingbo Sun (Institute of Automation, CASIA, Pengcheng Laboratory, &
School of Artificial Intelligence, UCAS)
Songjun Tu (Institute of Automation, CASIA, Pengcheng Laboratory, &
School of Artificial Intelligence, UCAS)
Qichao Zhang (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
Ke Chen (Pengcheng Laboratory)
Dongbin Zhao (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
The
Many Challenges of Human-Like Agents in Virtual Game Environments (Page
1996)
Maciej Świechowski (QED Software)
Dominik Ślęzak (University of Warsaw)
Value
Iteration for Learning Concurrently Executable Robotic Control Tasks (Page
2006)
Sheikh A. Tahmid (University of Waterloo)
Gennaro Notomista (University of Waterloo)
Ready,
Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous
Energy Storage Constraints. (Page
2015)
Mohamed S. Talamali (The University of Sheffield)
Genki Miyauchi (The University of Sheffield)
Thomas Watteyne (Inria)
Micael S. Couceiro (Ingeniarius, Ltd.)
Roderich Groß (Technical University of Darmstadt)
|
|
The
Degree of (Extended) Justified Representation and Its Optimization (Page
2024)
Biaoshuai Tao (Shanghai Jiao Tong University)
Chengkai Zhang (Shanghai Jiao Tong University)
Houyu Zhou (UNSW Sydney)
Logic
of Knowledge and Cognitive Ability (Page
2033)
Jia Tao (Lafayette College)
Xinran Zhang (University of Illinois Urbana-Champaign)
EduQate:
Generating Adaptive Curricula through RMABs in Education Settings (Page
2042)
Sidney Tio (Singapore Management University)
Dexun Li (Singapore Management University)
Pradeep Varakantham (Singapore Management University)
Large
Language Models for Virtual Human Gesture Selection (Page
2051)
Parisa Ghanad Torshizi (Northeastern University)
Laura B. Hensel (University of Glasgow)
Ari Shapiro (FlawlessAI)
Stacy C. Marsella (Northeastern University)
Conditional
Max-Sum for Asynchronous Multiagent Decision Making (Page
2060)
Dimitrios Troullinos (Technical University of Crete)
Georgios Chalkiadakis (Technical University of Crete)
Ioannis Papamichail (Technical University of Crete)
Markos Papageorgiou (Technical University of Crete)
Online
Preference-based Reinforcement Learning with Self-augmented Feedback from
Large Language Model (Page
2069)
Songjun Tu (Institute of Automation, CASIA, Pengcheng Laboratory, &
School of Artificial Intelligence, UCAS)
Jingbo Sun (Institute of Automation, CASIA, Pengcheng Laboratory, &
School of Artificial Intelligence, UCAS)
Qichao Zhang (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
Xiangyuan Lan (Pengcheng Laboratory & Pazhou Laboratory (Huangpu))
Dongbin Zhao (Institute of Automation, CASIA & School of Artificial
Intelligence, UCAS)
Maximizing
Truth Learning in a Social Network is NP-hard (Page
2078)
Filip Úradník (Charles University Prague)
Amanda Wang (Princeton University)
Jie Gao (Rutgers University)
|
|
Networked
Agents in the Dark: Team Value Learning under Partial Observability (Page
2087)
Guilherme S. Varela (Instituto Superior Técnico, INESC-ID)
Alberto Sardinha (PUC-Rio)
Francisco S. Melo (Instituto Superior Técnico, INESC-ID)
HAVA:
Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement
Learning (Page 2096)
Kryspin Varys (University of Southampton)
Federico Cerutti (University of Brescia)
Adam Sobey (The Alan Turing Institute & University of Southampton)
Timothy J. Norman (University of Southampton)
A
Minimax Approach to Ad Hoc Teamwork (Page
2105)
Victor Villin (Université de Neuchâtel)
Thomas Kleine Buening (The Alan Turing Institute)
Christos Dimitrakakis (Université de Neuchâtel)
Implicit
Repair with Reinforcement Learning in Emergent Communication (Page
2115)
Fábio Vital (INESC-ID & Instituto Superior Técnico)
Alberto Sardinha (INESC-ID & PUC-Rio)
Francisco S. Melo (INESC-ID & Instituto Superior)
FLIGHT:
Facility Location Integrating Generalized, Holistic Theory of Welfare (Page
2125)
Avyukta Manjunatha Vummintala (International Institute of Information
Technology)
Shivam Gupta (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology)
Sujit Gujar (International Institute of Information Technology)
InCLET:
Large Language Model In-context Learning can Improve Embodied Instruction-following (Page
2134)
Peng-Yuan Wang (National Key Laboratory for Novel Software Technology,
School of Artificial Intelligence, Nanjing University & Polixir.ai)
Jing-Cheng Pang (National Key Laboratory for Novel Software Technology,
School of Artificial Intelligence, Nanjing University & Polixir.ai)
Chen-Yang Wang (National Key Laboratory for Novel Software Technology,
School of Artificial Intelligence, Nanjing University)
Xuhui Liu (National Key Laboratory for Novel Software Technology, School
of Artificial Intelligence, Nanjing University)
Tian-Shuo Liu (National Key Laboratory for Novel Software Technology,
School of Artificial Intelligence, Nanjing University & Polixir.ai)
Si-Hang Yang (National Key Laboratory for Novel Software Technology,
School of Artificial Intelligence, Nanjing University & Polixir.ai)
Hong Qian (Shanghai Institute of AI for Education and School of Computer
Science and Technology, East China Normal University)
Yang Yu (National Key Laboratory for Novel Software Technology, School
of Artificial Intelligence, Nanjing University & Polixir.ai)
On
Diffusion Models for Multi-Agent Partial Observability: Shared Attractors,
Error Bounds, and Composite Flow (Page
2143)
Tonghan Wang (Harvard University)
Heng Dong (Tsinghua University)
Yanchen Jiang (Harvard University)
David C. Parkes (Harvard University)
Milind Tambe (Harvard University)
|
|
ReSCOM:
Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning (Page
2153)
Xinghai Wei (Beijing University of Posts and Telecommunications)
Tingting Yuan (University of Göttingen)
Jie Yuan (Beijing University of Posts and Telecommunications)
Dongxiao Liu (Beijing University of Posts and Telecommunications)
Xiaoming Fu (University of Göttingen)
Goal
Recognition via Variational Causality (Page
2162)
Jiaqi Wen (University of Houston)
Leonardo Amado (University of Aberdeen)
A
Scoresheet for Explainable AI (Page
2171)
Michael Winikoff (Victoria University of Wellington)
John Thangarajah (RMIT University)
Sebastian Rodriguez (RMIT University)
FGLight:
Learning Neighbor-level Information for Traffic Signal Control (Page
2181)
Hang Xiao (School of Software, Northwest Polytechnical University)
Huale Li (School of Software, Northwest Polytechnical University &
Yangtze River Delta Research Institute of NPU)
Shuhan Qi (School of Computer Science and Technology, Harbin Insitute
of Technology, Shenzhen)
Jiajia Zhang (School of Computer Science and Technology, Harbin Institute
of Technology Shenzhen)
DingZhong Cai (School of Software, Northwestern Polytechnical University)
ACORN:
Acyclic Coordination with Reachability Network to Reduce Communication
Redundancy in Multi-Agent Systems (Page
2190)
Yi Xie (FAET, Fudan University)
Ziqing Zhou (FAET, Fudan University)
Chun Ouyang (FAET, Fudan University)
Siao Liu (FAET, Fudan University)
Linqiang Hu (FAET, Fudan University)
Zhongxue Gan (FAET, Fudan University)
Finite-Horizon
Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource
Allocation (Page
2199)
Guohjun Xiong (Harvard University)
Haichuan Wang (Harvard University)
Yuqi Pan (Harvard University)
Saptarshi Mandal (University of Illinois Urbana-Champaign)
Sanket Shah (Harvard University)
Niclas Boehmer (Harvard University)
Milind Tambe (Harvard University)
On
the Effective Horizon of Inverse Reinforcement Learning (Page
2208)
Yiqing Xu (School of Computing, National University of Singapore)
Finale Doshi-Velez (Department of Computer Science, Harvard University)
David Hsu (School of Computing, Smart System Institute, National University
of Singapore)
|
|
Uncertainty-Aware
Opponent Modeling for Deep Reinforcement Learning (Page
2217)
Likun Yang (School of Artificial Intelligence, University of Chinese
Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Pei Xu (School of Artificial Intelligence, University of Chinese Academy
of Sciences & Institute of Automation, Chinese Academy of Sciences)
Shiyue Cao (School of Artificial Intelligence, University of Chinese
Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Yongjian Ren (School of Artificial Intelligence, University of Chinese
Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Xiaotang Chen (School of Artificial Intelligence, University of Chinese
Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Kaiqi Huang (School of Artificial Intelligence, University of Chinese
Academy of Sciences, Institute of Automation, Chinese Academy of Sciences,
& CAS Center for Excellence in Brain Science and Intelligence Technology)
Dual
Ensembled Multiagent Q-Learning with Hypernet Regularizer (Page
2226)
Yaodong Yang (Department of CSE, CUHK)
Guangyong Chen (Zhejiang Lab)
Hongyao Tang (Mila, University of Montreal)
Furui Liu (Zhejiang Lab)
Danruo Deng (Department of CSE, CUHK)
Pheng-Ann Heng (Department of CSE, CUHK)
Self-Interpretable
Reinforcement Learning via Rule Ensembles (Page
2235)
Yue Yang (Monash University)
Fan Yang (Monash University)
Yu Bai (Monash University)
Hao Wang (Monash University)
Asymptotic
Existence of Class Envy-free Matchings (Page
2244)
Tomohiko Yokoyama (The University of Tokyo)
Ayumi Igarashi (The University of Tokyo)
Adaptive
Episode Length Adjustment for Multi-agent Reinforcement Learning (Page
2253)
Byunghyun Yoo (Electronics and Telecommunications Research Institute
(ETRI))
Younghwan Shin (Electronics and Telecommunications Research Institute
(ETRI))
Hyunwoo Kim (Electronics and Telecommunications Research Institute
(ETRI))
Euisok Chung (Electronics and Telecommunications Research Institute
(ETRI))
Jeongmin Yang (Electronics and Telecommunications Research Institute
(ETRI))
Task-Agnostic
Contrastive pre-Training for Inter-Agent Communication (Page
2262)
Peihong Yu (University of Maryland)
Manav Mishra (IISER Bhopal)
Syed Zaidi (University of Maryland)
Pratap Tokekar (University of Maryland)
Imitation
from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning
with Single-Step Archive Exploration (Page
2271)
Xingrui Yu (CFAR, IHPC, Agency for Science, Technology and Research)
Zhenglin Wan (School of Data Science, The Chinese University of Hong
Kong, Shenzhen)
David Mark Bossens (CFAR, IHPC, Agency for Science, Technology and
Research)
Yueming Lyu (CFAR, IHPC, Agency for Science, Technology and Research)
Qing Guo (CFAR, IHPC, Agency for Science, Technology and Research)
Ivor W. Tsang (CFAR, IHPC, Agency for Science, Technology and Research
& College of Computing and Data Science, NTU)
|
|
Insights
Regarding the Success of Damping in Improving Belief Propagation (Page
2281)
Uriel Zaed (Ben Gurion University)
Omer Lev (Ben Gurion University)
Roie Zivan (Ben Gurion University)
Enhancing
Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline
RL (Page 2290)
Sheng Zang (Nanyang Technological University & Institute for Infocomm
Research, A*STAR)
Zhiguang Cao (Singapore Management University)
Bo An (Nanyang Technological University & Skywork AI)
Senthilnath Jayavelu (Institute for Infocomm Research, A*STAR)
Xiaoli Li (Institute for Infocomm Research, A*STAR & Nanyang Technological
University)
Loss
of Plasticity: A New Perspective on Solving Multi-Agent Exploration for
Sparse Reward Tasks (Page
2299)
Zehua Zang (University of Chinese Academy of Sciences & Institute of
Software Chinese Academy of Sciences)
Chuxiong Sun (Institute of Software Chinese Academy of Sciences)
Lixiang Liu (Institute of Software Chinese Academy of Sciences)
Fuchun Sun (Tsinghua University & Institute of Software Chinese Academy
of Sciences)
Changwen Zheng (Institute of Software Chinese Academy of Sciences)
On
the Structure of EFX Orientations on Graphs (Page
2309)
Jinghan A. Zeng (University of Illinois Urbana-Champaign)
Ruta Mehta (University of Illinois Urbana-Champaign)
β-DQN:
Improving Deep Q-Learning By Evolving the Behavior (Page
2317)
Hongming Zhang (University of Alberta & Amii)
Fengshuo Bai (Shanghai Jiao Tong University)
Chenjun Xiao (CUHK-Shenzhen)
Chao Gao (Edmonton Research Center, Huawei)
Bo Xu (CASIA)
Martin Müller (University of Alberta & Amii)
Incentives
for Early Arrival in Cost Sharing (Page
2327)
Junyu Zhang (ShanghaiTech University)
Yao Zhang (Kyushu University)
Yaoxin Ge (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)
Hu Fu (Shanghai University of Finance and Economics)
Zhihao Gavin Tang (Shanghai University of Finance and Economics)
Pinyan Lu (Shanghai University of Finance and Economics)
Offline
Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused
Policy Learning (Page
2336)
Yaocheng Zhang (Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
Yuanheng Zhu (Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
Yuqian Fu (Institute of Automation, Chinese Academy of Sciences & School
of Artificial Intelligence, University of Chinese Academy of Sciences)
Songjun Tu (Institute of Automation, Chinese Academy of Sciences &
Pengcheng Laboratory)
Dongbin Zhao (Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
|
|
Unveiling
Decision Intention for Cooperative Multi-Agent Reinforcement Learning (Page
2345)
Zeren Zhang (The Key Laboratory of Cognition and Decision Intelligence
for Complex Systems, Institute of Automation, Chinese Academy of Sciences)
Zhiwei Xu (School of Artificial Intelligence, Shandong University)
Guangchong Zhou (The Key Laboratory of Cognition and Decision Intelligence
for Complex Systems, Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
Dapeng Li (The Key Laboratory of Cognition and Decision Intelligence
for Complex Systems, Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
Bin Zhang (The Key Laboratory of Cognition and Decision Intelligence
for Complex Systems, Institute of Automation, Chinese Academy of Sciences
& School of Artificial Intelligence, University of Chinese Academy of
Sciences)
Guoliang Fan (The Key Laboratory of Cognition and Decision Intelligence
for Complex Systems, Institute of Automation, Chinese Academy of Sciences)
Agent-Based
Analysis of Green Disclosure Policies and Their Market-Wide Impact on
Firm Behavior (Page
2355)
Lingxiao Zhao (King's College London)
Maria Polukarov (King's College London)
Carmine Ventre (King's College London)
Mean
Field Correlated Imitation Learning (Page
2364)
Zhiyu Zhao (Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Chengdong Ma (Institute for Artificial Intelligence, Peking University)
Qirui Mi (Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Ning Yang (Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Xue Yan (Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Mengyue Yang (University of Bristol)
Haifeng Zhang (Institute of Automation, CAS & School of Artificial
Intelligence, UCAS)
Jun Wang (University College London)
Yaodong Yang (Institute for Artificial Intelligence, Peking University)
Offline-to-Online
Multi-Agent Reinforcement Learning with Offline Value Function Memory
and Sequential Exploration (Page
2373)
Hai Zhong (IIIS, Tsinghua University)
Xun Wang (IIIS, Tsinghua University)
Zhuoran Li (IIIS, Tsinghua University)
Longbo Huang (IIIS, Tsinghua University)
Single-Agent
Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners (Page
2382)
Fengming Zhu (The Hong Kong University of Science and Technology)
Fangzhen Lin (The Hong Kong University of Science and Technology)
Robust
Policy Learning for Multi-UAV Collision Avoidance with Causal Feature
Selection (Page 2392)
Jiafan Zhuang (Shantou University)
Gaofei Han (Shantou University)
Zihao Xia (Shantou University)
Che Lin (Shantou University)
Boxi Wang (Shantou University)
Dongliang Wang (Shantou University)
Wenji Li (Shantou University)
Zhifeng Hao (Shantou University)
Ruichu Cai (Guangdong University of Technology)
Zhun Fan (University of Electronic Science and Technology of China)
Extended
Abstracts
Decision-Making
in Evolving Environments: A Bayesian Multi-Agent Bandit Framework (Page
2402)
Mohammad Essa Alsomali (Lancaster University)
Leandro Soriano Marcolino (Lancaster University)
Barry Porter (Lancaster University)
Roberto Rodrigues-Filho (Federal University of Santa Catarina)
|
|
Combining
LLMs with a Logic-Based Framework to Explain MCTS (Page
2405)
Ziyan An (Vanderbilt University)
Xia Wang (Vanderbilt University)
Hendrik Baier (Eindhoven University of Technology)
Zirong Chen (Vanderbilt University)
Abhishek Dubey (Vanderbilt University)
Taylor T. Johnson (Vanderbilt University)
Jonathan Sprinkle (Vanderbilt University)
Ayan Mukhopadhyay (Vanderbilt University)
Meiyi Ma (Vanderbilt University)
Adaptive
Multi-Round Influence Maximization with Limited Information (Page
2408)
Vincenzo Auletta (Università degli Studi di Salerno)
Francesco Carbone (Università degli Studi di Salerno)
Diodato Ferraioli (Università degli Studi di Salerno)
Cosimo Vinci (Università del Salento)
Safe
Entropic Agents under Team Constraints (Page
2411)
Ayhan Alp Aydeniz (Oregon State University)
Enrico Marchesini (Massachusetts Institute of Technology)
Robert Loftin (University of Sheffield)
Christopher Amato (Northeastern University)
Kagan Tumer (Oregon State University)
Group
Fairness in Multi-period Mobile Facility Location Problems (Page
2414)
Haris Aziz (UNSW Sydney)
Hau Chan (University of Nebraska-Lincoln)
Xingchen Sha (Columbia University)
Toby Walsh (UNSW Sydney)
Lirong Xia (Rutgers University)
Weighted
Envy-free Allocation with Subsidy (Page
2417)
Haris Aziz (UNSW)
Xin Huang (Kyushu University)
Kei Kimura (Kyushu University)
Indrajit Saha (Kyushu University)
Zhaohong Sun (Kyushu University)
Mashbat Suzuki (UNSW)
Makoto Yokoo (Kyushu University)
Neighborhood
Stability in Assignments on Graphs (Page
2420)
Haris Aziz (UNSW Sydney)
Grzegorz Lisowski (AGH University)
Mashbat Suzuki (UNSW Sydney)
Jeremy Vollen (UNSW Sydney)
On
the Distortion of Multi-Winner Elections on the Line Metric (Page
2423)
Negar Babashah (Sharif University of Technology)
Hasti Karimi (Sharif University of Technology)
Masoud Seddighin (Tehran Institute for Advanced Studies (TeIAS), Khatam
University)
Golnoosh Shahkarami (Max Planck Institut für Informatik, Universität
des Saarlandes)
|
|
Interaction
Protocols in an Imperative Agent-Oriented Programming Language: the case
of BSPL and SARL (Page
2426)
Matteo Baldoni (Dipartimento di Informatica, Università degli Studi
di Torino)
Cristina Baroglio (Dipartimento di Informatica, Università degli Studi
di Torino)
Stéphane Galland (Université de Technologie de Belfort Montbéliard,
UTBM, CIAD UR 7533)
Roberto Micalizio (Dipartimento di Informatica, Università degli Studi
di Torino)
Fatma Outay (College of Technological Innovation, Zayed University)
Stefano Tedeschi (Università della Valle d'Aosta - Université de la
Vallée d'Aoste)
Multi-Agent
Pickup and Delivery with Batteries (Page
2428)
Marcello Bavaro (Politecnico di Milano)
Francesco Amigoni (Politecnico di Milano)
Efficient
Multi-Agent Delegated Search (Page
2431)
Curtis Bechtel (University of Southern California)
Shaddin Dughmi (University of Southern California)
Bridging
the Gap between Partially Observable Stochastic Games and Sparse POMDP
Methods (Page 2434)
Tyler Becker (University of Colorado Boulder)
Zachary Sunberg (University of Colorado Boulder)
Robust
Strategies for Stochastic Multi-Agent Systems (Page
2437)
Raphaël Berthon (RWTH Aachen University)
Joost-Pieter Katoen (RWTH Aachen University)
Munyque Mittelmann (University of Naples Federico II)
Aniello Murano (University of Naples Federico II)
Multiplayer
Games With Incomplete Information for Hyperproperty Verification (Page
2440)
Raven Beutner (CISPA Helmholtz Center for Information Security)
Bernd Finkbeiner (CISPA Helmholtz Center for Information Security)
Planning
for Temporally Extended Goals based on alpha-CTL (Page
2443)
Viviane Bonadia dos Santos (Universidade de São Paulo)
Leliane Nunes de Barros (Universidade de São Paulo)
Maria Viviane de Menezes (Universidade Federal do Ceará)
Silvio do Lago Pereira (Faculdade de Tecnologia de São Paulo)
|
|
Formal
Verification of Manipulation Dialogues (Page
2446)
Andreas Brännström (Umeå University)
Chiaki Sakama (Wakayama University)
Juan Carlos Nieves (Umeå University)
(Submodular)
Hedonic Games with Common Ranking Property (Page
2449)
Bugra Caskurlu (New Uzbekistan University)
Ali Eser (Colby College)
Agreement
Games in Multi-Agent Systems (Page
2452)
Davide Catta (Université Sorbonne Paris Nord CNRS, LIPN, F-93430)
Angelo Ferrando (University of Modena and Reggio Emilia)
Vadim Malvone (Télécom Paris, Institut Polytechnique de Paris)
The
Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations (Page
2455)
Fuguang Chen (Carleton University)
Alan Tsang (Carleton University)
Dynamic
Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning (Page
2457)
Haosheng Chen (East China Normal University)
Yun Hua (East China Normal University)
Junjie Sheng (East China Normal University)
Wenhao Li (Tongji University)
Bo Jin (Tongji University)
Xiangfeng Wang (East China Normal University & Shanghai Formal-Tech
Information Technology Co., Lt)
Hierarchical
Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large
Language Models (Page
2460)
Zhixun Chen (University of Technology Sydney)
Zijing Shi (University of Technology Sydney)
Yaodong Yang (Peking University)
Meng Fang (University of Liverpool)
Yali Du (King's College London)
Traffic
Anomaly Detection through Generative Modeling of Multi-Agent Interactions
in Traffic Flow (Page
2463)
Zhuojun Chen (ASTRI)
Tacitus Hui (ASTRI)
Xinghua Zhu (ASTRI)
Dongzhe Su (ASTRI)
|
|
Optimal
Mechanism Design for Crowdfunding of Public Goods (Page
2466)
Yukun Cheng (School of Business, Jiangnan University)
Xiaotie Deng (CFCS, School of Computer Science, Peking University)
Baqiao Quan (School of Mathematical Sciences, Peking University)
Fairness
in Cooperative Multi-agent Multi-objective Reinforcement Learning using
the Expected Scalarized Return (Page
2469)
Farès Chouaki (LIP6, Sorbonne Université, CNRS)
Aurélie Beynier (LIP6, Sorbonne Université, CNRS)
Nicolas Maudet (LIP6, Sorbonne Université, CNRS)
Paolo Viappiani (LAMSADE, CNRS, Université Paris Dauphine - PSL)
Open-World
Classification with Bayesian Gaussian Mixture Models (Page
2472)
Justin Clarke (University of Massachusetts)
Przemyslaw Grabowicz (University College Dublin)
David Jensen (University of Massachusetts)
Egalitarianism
in Online Coalition Formation (Page
2475)
Saar Cohen (Department of Computer Science, Bar Ilan University)
Noa Agmon (Department of Computer Science, Bar Ilan University)
Resolving
Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs (Page
2478)
Ofer Dagan (Aerospace Engineering Sciences, University of Colorado,
Boulder)
Tyler Becker (Aerospace Engineering Sciences, University of Colorado,
Boulder)
Zachary N. Sunberg (Aerospace Engineering Sciences, University of Colorado,
Boulder)
Multi-Agent
Reinforcement Learning with Selective State-Space Models (Page
2481)
Jemma Daniel (InstaDeep)
Ruan John de Kock (InstaDeep)
Louay Ben Nessir (InstaDeep)
Sasha Abramowitz (InstaDeep)
Omayma Mahjoub (InstaDeep)
Wiem Khlifi (InstaDeep)
Juan Claude Formanek (InstaDeep)
Arnu Pretorius (InstaDeep)
Voter
Participation Control in Online Polls (Page
2484)
Koustav De (IIT Kharagpur)
Palash Dey (IIT Kharagpur)
Swagato Sanyal (University of Sheffield)
|
|
Managing
an Agent's Changing Intentions Using LTLfSynthesis (Page
2487)
Giuseppe De Giacomo (University of Oxford & University of Rome 'La
Sapienza')
Yves Lespérance (York University)
Gianmarco Parretti (University of Rome 'La Sapienza')
Fabio Patrizi (University of Rome 'La Sapienza')
Renzo Schram (Utrecht University)
Is
an Exponentially Growing Action Space Really that Bad? Validating a Core
Assumption for using Multi-Agent RL (Page
2490)
Ruan de Kock (University of Cape Town)
Arnu Pretorius (InstaDeep)
Jonathan Shock (University of Cape Town & Institut National de la Recherche
Scientifique)
Symplex:
Learning Social Norm Hierarchies by Combining Autonomous Exploration and
Expert Imitation (Page
2493)
Oliver Deane (University of Bristol)
Oliver Ray (University of Bristol)
Asynchronous
Cooperative Multi-Agent Reinforcement Learning with Limited Communication (Page
2496)
Sydney Dolan (Massachusetts Institute of Technology)
Siddharth Nayak (Massachusetts Institute of Technology)
Jasmine Jerry Aloor (Massachusetts Institute of Technology)
Hamsa Balakrishnan (Massachusetts Institute of Technology)
Parameterized
Complexity of Hedonic Games with Enemy-Oriented Preferences (Page
2499)
Martin Durand (TU Wien)
Laurin Erlacher (TU Wien)
Johanne Müller Vistisen (TU Wien & Technical University of Denmark)
Sofia Simola (TU Wien)
Distributed
Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams
in Dynamic Environments (Page
2502)
Victoria Edwards (The GRASP Laboratory, University of Pennsylvania)
M. Ani Hsieh (The GRASP Laboratory, University of Pennsylvania)
Weighted
Envy Freeness With Bounded Subsidies (Page
2504)
Noga Klein Elmalem (The Open University of Israel)
Rica Gonen (The Open University of Israel)
Erel Segal-Halevi (Ariel University)
|
|
Agential
AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible
Models (Page 2507)
Zeki Doruk Erden (École Polytechnique Fédérale de Lausanne)
Boi Faltings (École Polytechnique Fédérale de Lausanne)
ADAGE:
A Generic Two-layer Framework for Adaptive Agent based Modelling (Page
2510)
Benjamin Patrick Evans (JP Morgan AI Research)
Sihan Zeng (JP Morgan AI Research)
Sumitra Ganesh (JP Morgan AI Research)
Leo Ardon (JP Morgan AI Research)
Participatory
Budgeting Project Strength via Candidate Control (Page
2514)
Piotr Faliszewski (AGH University)
Lukasz Janeczko (AGH University)
Dušan Knop (Czech Technical University in Prague)
Jan Pokorný (Czech Technical University in Prague)
Šimon Schierreich (Czech Technical University in Prague)
Mateusz Sluszniak (AGH University)
Krzysztof Sornat (AGH University)
Quantitative
Operational Monitoring for BDI Agents (Page
2517)
Marie Farrell (The University of Manchester)
Angelo Ferrando (University of Modena and Reggio Emilia)
Mengwei Xu (Newcastle University)
Bidirectional
Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors (Page
2520)
Lang Feng (Zhejiang University)
Jiahao Lin (Zhejiang University)
Dong Xing (Zhejiang University)
Li Zhang (Zhejiang University)
De Ma (Zhejiang University)
Gang Pan (Zhejiang University)
Action-Dependent
Optimality-Preserving Reward Shaping (Page
2523)
Grant C. Forbes (North Carolina State University)
Jianxun Wang (North Carolina State University)
Leonardo Villalobos-Arias (North Carolina State University)
Arnav Jhala (North Carolina State University)
David I. Roberts (North Carolina State University)
Learning
Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks (Page
2526)
Kevin Fu (Georgia Institute of Technology)
Pierce Howell (Georgia Institute of Technology)
Shalin Jain (Georgia Institute of Technology)
Harish Ravichandar (Georgia Institute of Technology)
|
|
Nash
Equilibrium and Learning Dynamics in Three-Player Matching m-Action
Games (Page 2529)
Yuma Fujimoto (CyberAgent)
Kaito Ariu (CyberAgent)
Kenshi Abe (CyberAgent)
Adaptive
Budget Optimization for Multichannel Advertising Using Combinatorial Bandits (Page
2532)
Briti Gangopadhyay (Sony)
Zhao Wang (Sony)
Alberto Silvio Chiappa (Sony & EPFL)
Shingo Takamatsu (Sony)
Matching
Markets with Chores (Page
2535)
Jugal Garg (University of Illinois at Urbana-Champaign)
Thorben Tröbst (University of California, Irvine)
Vijay V. Vazirani (University of California, Irvine)
Learning
Bayesian Game Families, with Application to Mechanism Design (Page
2538)
Madelyn Gatchel (University of Michigan)
Michael P. Wellman (University of Michigan)
ChatBDI:
Think BDI, Talk LLM (Page
2541)
Andrea Gatti (DIBRIS – University of Genoa)
Viviana Mascardi (DIBRIS – University of Genoa)
Angelo Ferrando (DSFIM – University of Modena-Reggio Emilia)
Satisfactory
Budget Division (Page
2544)
Laurent Gourvès (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE)
Michael Lampis (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE)
Nikolaos Melissinos (Czech Technical University of Prague)
Aris Pagourtzis (National Technical University of Athens & Archimedes/Athena
RC)
Social
Ranking for Feature Selection (Page
2547)
Laurent Gourvès (LAMSADE, CNRS, Université Paris-Dauphine, Université
PSL)
Stefano Moretti (LAMSADE, CNRS, Université Paris-Dauphine, Université
PSL)
Satya Tamby (LAMSADE, CNRS, Université Paris-Dauphine, Université PSL)
|
|
Can
you see how I learn? Human Observers' Inferences about Reinforcement Learning
Agents' Learning Processes (Page
2550)
Bernhard Hilpert (Leiden University)
Muhan Hou (Vrije Universiteit Amsterdam)
Kim Baraka (Vrije Universiteit Amsterdam)
Joost Broekens (Leiden University)
Making
Universal Policies Universal (Page
2553)
Niklas Hoepner (University of Amsterdam)
David Kuric (University of Amsterdam)
Herke van Hoof (University of Amsterdam)
Prompt
Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization (Page
2556)
Shengchao Hu (Shanghai Jiao Tong University)
Wanru Zhao (University of Cambridge)
Weixiong Lin (Shanghai Jiao Tong University)
Li Shen (Sun Yat-sen University)
Ya Zhang (Shanghai Jiao Tong University)
Dacheng Tao (Nanyang Technological University)
Fair
Assignment on Multi-Stage Graphs (Page
2559)
Vibulan J (IIITDM Kancheepuram)
Swapnil Dhamal (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Ojassvi Kumar (Indian Institute of Technology Ropar)
Aman Kumar (Indian Institute of Technology Ropar)
Harpreet Singh (Indian Institute of Technology Ropar)
Decoding
Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy,
Deception, and Emotional Transparency in Human-Agent Interaction (Page
2562)
Nusrath Jahan (University of Central Florida)
Johnathan Mell (University of Central Florida)
Predicting
Team Performance from Communications in Simulated Search-and-Rescue (Page
2565)
Ali Jalal-Kamali (University of Southern California)
Nikolos M. Gurney (University of Southern California)
David V. Pynadath (Rice University)
FedHPD:
Heterogeneous Federated Reinforcement Learning via Policy Distillation (Page
2568)
Wenzheng Jiang (National University of Defense Technology)
Ji Wang (National University of Defense Technology)
Xiongtao Zhang (National University of Defense Technology)
Weidong Bao (National University of Defense Technology)
Cheston Tan (CFAR, A*STAR)
Flint Xiaofeng Fan (National University of Singapore)
|
|
When
to Stop Getting Tested: The Theory of Diagnostic Tests (Page
2571)
Anson Kahng (University of Rochester)
Joseph Saber (University of Rochester)
Evaluating
and Improving Graph-based Explanation Methods for Multi-Agent Coordination (Page
2574)
Siva Kailas (Georgia Institute of Technology)
Shalin Jain (Georgia Institute of Technology)
Harish Ravichandar (Georgia Institute of Technology)
Resource
Allocation under the Latin Square Constraint (Page
2577)
Yasushi Kawase (The University of Tokyo)
Bodhayan Roy (Indian Institute of Technology Kharagpur)
Mohammad Azharuddin Sanpui (Indian Institute of Technology Kharagpur)
RallyDiffuser:
A Representation-Guided Diffusion Model Framework for Strategic Planning
in Badminton (Page
2579)
Bing-Zhi Ke (Department of Computer Science, National Yang Ming Chiao
Tung University)
Kuang-Da Wang (Department of Computer Science, National Yang Ming Chiao
Tung University)
Wen-Chih Peng (Department of Computer Science, National Yang Ming Chiao
Tung University)
Adaptive
Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement
Learning (Page 2582)
Behrad Koohy (University of Southampton)
Sebastian Stein (University of Southampton)
Enrico Gerding (University of Southampton)
Compensating
Latent Nonlinear Dynamics for Practical Consensus Control (Page
2585)
Krzysztof Kowalczyk (Wroclaw University of Science and Technology)
Dominik Baumann (Aalto University)
Cristian R. Rojas (KTH Royal Institute of Technology)
Pawel Wachel (Wroclaw University of Science and Technology)
Online
Competitive Information Gathering for Partially Observable Trajectory
Games (Page 2588)
Mel Krusniak (Vanderbilt University)
Hang Xu (Vanderbilt University)
Parker Palermo (Vanderbilt University)
Forrest Laine (Vanderbilt University)
|
|
DECAF:
Learning to be Fair in Multi-agent Resource Allocation (Page
2591)
Ashwin Kumar (Washington University in St. Louis)
William Yeoh (Washington University in St. Louis)
Truman:
A Large Language Model-based Multi-agent Simulator for Synthetic Money
Laundering Data Generation (Page
2594)
Dattatray Vishnu Kute (The University of New South Wales)
Zihao Xu (The University of New South Wales)
Yuekang Li (The University of New South Wales)
Fethi Rabhi (The University of New South Wales)
Knowledge
Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task
Learning (Page 2597)
Dmytro Kuzmenko (National University of Kyiv-Mohyla Academy)
Nadiya Shvai (National University of Kyiv-Mohyla Academy & Cyclope.ai)
Model
of the Influence of External Signals on the Trust of the Agent in Multi
Agent System (Page
2600)
Frédérique Lalieu (Complex Cyber Infrastructure, Informatics Institute,
Faculty of Science, University of Amsterdam)
Tomasz Zurek (Complex Cyber Infrastructure, Informatics Institute,
Faculty of Science, University of Amsterdam)
Tom van Engers (University of Amsterdam & TNO / Leibniz Institute)
To
Stand on the Shoulders of Giants: Should We Protect Initial Discoveries
in Multi-Agent Exploration? (Page
2603)
Hodaya Lampert (State Comptroller Office)
Reshef Meir (Technion—Israel Institute of Technology)
Kinneret Teodorescu (Technion—Israel Institute of Technology)
Equilibrium
Selection via Communication Partition (Page
2606)
Wei-Chen Lee (University of Oxford)
Alessandro Abate (University of Oxford)
Michael Wooldridge (University of Oxford)
Observer-Aware
Probabilistic Planning under Partial Observability (Page
2609)
Salomé Lepers (Univ. de Lorraine, CNRS, Inria, Loria)
Vincent Thomas (Univ. de Lorraine, CNRS, Inria, Loria)
Olivier Buffet (Univ. de Lorraine, CNRS, Inria, Loria)
|
|
Offline
Meta Reinforcement Learning with Weighted Policy Constraints and Proximal
Context Collection (Page
2612)
Haorui Li (State Key Laboratory of Multimodal Artificial Intelligence
Systems, Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Jiaqi Liang (State Key Laboratory of Multimodal Artificial Intelligence
Systems, Institute of Automation, CAS)
Linjing Li (State Key Laboratory of Multimodal Artificial Intelligence
Systems, Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Daniel Zeng (State Key Laboratory of Multimodal Artificial Intelligence
Systems, Institute of Automation, CAS & School of Artificial Intelligence,
UCAS)
Group-fair
Facility Location Games with Externalities (Page
2615)
Minming Li (City University of Hong Kong)
Cheng Peng (Shanghai Jiao Tong University)
Ying Wang (City University of Hong Kong & Columbia University)
Houyu Zhou (UNSW Sydney)
Lite-DIO
Is Actually What You Need for Efficient Inertial Localization (Page
2618)
Yan Li (The School of Systems Science and Engineering, Sun Yat-Sen
University)
Meng Liu (College of Intelligent Systems Science and Engineering, Harbin
Engineering University)
Zhongchen Shi (Defense Innovation Institute, Academy of Military Sciences
(AMS))
Yanqing Hou (The School of Systems Science and Engineering, Sun Yat-Sen
University)
Liang Xie (Defense Innovation Institute, National University of Defense
Technology & Tsinghua University)
Hongbo Chen (The School of Systems Science and Engineering, Sun Yat-Sen
University)
Erwei Yin (Defense Innovation Institute, Academy of Military Sciences
(AMS))
Diversity-seeking
Swap Games in Networks (Page
2621)
Yaqiao Li (Faculty of Comp. Sci. and Control Eng., Shenzhen University
of Advanced Technology)
Lata Narayanan (Dept of Computer Science and Software Engineering,
Concordia University)
Jaroslav Opatrny (Dept of Computer Science and Software Engineering,
Concordia University)
Yi Tian Xu (Independent Researcher)
Fusing
Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework
Based on Hierarchical Attention Mechanism (Page
2624)
Zhilin Li (Key Lab of Education Blockchain and Intelligent Technology,
Ministry of Education & Guangxi Key Lab of Multi-Source Information Mining
and Security, Guangxi Normal University)
Xiaomei Tao (Key Lab of Education Blockchain and Intelligent Technology,
Ministry of Education & Guangxi Key Lab of Multi-Source Information Mining
and Security, Guangxi Normal University)
What
Is a Counterfactual Cause in Action Theories? (Page
2627)
Daxin Liu (Nanjing University)
Vaishak Belle (The University of Edinburgh)
Tacit
Learning with Adaptive Information Selection for Cooperative Multi-Agent
Reinforcement Learning (Page
2630)
Lunjun Liu (College of Electrical and Information Engineering , Hunan
University & Greater Bay Area Institute for Innovation, Hunan University)
Weilai Jiang (College of Electrical and Information Engineering , Hunan
University & Greater Bay Area Institute for Innovation, Hunan University)
Yaonan Wang (College of Electrical and Information Engineering , Hunan
University & Greater Bay Area Institute for Innovation, Hunan University)
|
|
Policies
with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming
Approach (Page 2633)
Xinjie Liu (The University of Texas at Austin)
Jingqi Li (University of California, Berkeley)
Filippos Fotiadis (The University of Texas at Austin)
Mustafa O. Karabag (The University of Texas at Austin)
Jesse Milzman (Army Research Laboratory)
David Fridovich-Keil (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)
Adaptive
Offline Data Replay in Offline-to-Online Reinforcement Learning (Page
2636)
Xu Liu (Shanghai Jiao Tong University)
Tong Yu (Adobe Research)
Shuai Li (Shanghai Jiao Tong University)
RainbowArena:
A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models
in Competitive Tabletop Games (Page
2639)
Yingzhuo Liu (Beijing University of Posts and Telecommunications)
Shuodi Liu (Beijing University of Posts and Telecommunications)
Hongsong Tang (Beijing University of Posts and Telecommunications)
Yubing Ma (Beijing University of Posts and Telecommunications)
Zikang Li (Beijing University of Posts and Telecommunications)
Junge Zhang (Institute of Automation, Chinese Academy of Science)
Liuyu Xiang (Beijing University of Posts and Telecommunications)
Zhaofeng He (Beijing University of Post and Telecommunication)
CDSA:
Conservative Denoising Score-based Algorithm for Offline Reinforcement
Learning (Page 2642)
Zeyuan Liu (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Kai Yang (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Jiafei Lyu (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Xiu Li (Tsinghua Shenzhen International Graduate School, Tsinghua University)
Tools
in the Loop: Quantifying Uncertainty of LLM Question Answering Systems
That Use Tools (Page
2645)
Panagiotis Lymperopoulos (Tufts University)
Vasanth Sarathy (Tufts University)
Mitigating
Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal
Weight Modification (Page
2648)
Guoqing Ma (Institute of automation, Chinese Academy of Sciences &
School of Future Technology, University of Chinese Academy of Sciences)
Yuhan Zhang (Institute of automation, Chinese Academy of Sciences &
School of Future Technology, University of Chinese Academy of Sciences)
Yuming Dai (Institute of automation, Chinese Academy of Sciences &
School of Future Technology, University of Chinese Academy of Sciences)
Guangfu Hao (Institute of automation, Chinese Academy of Sciences &
School of Future Technology, University of Chinese Academy of Sciences)
Yang Chen (Institute of Automation, Chinese Academy of Sciences & Key
Laboratory of Brain Cognition and Brain-inspired Intelligence Technology,
Chinese Academy of Sciences)
Shan Yu (Institute of Automation, Chinese Academy of Sciences, School
of Future Technology, University of Chinese Academy of Sciences, and Key
Laboratory of Brain Cognition and Brain-inspired Intelligence Technology,
Chinese Academy of Sciences)
DyLam:
A Dynamic Reward Weighting Framework for Reinforcement Learning Algorithms (Page
2651)
Mateus Machado (Centro de Informática - UFPE)
Hansenclever Bassani (Centro de Informática - UFPE)
|
|
IBGP:
Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative
Multi-Agent Systems (Page
2654)
Yihuan Mao (Institute for Interdisciplinary Information Sciences, Tsinghua
University)
Yipeng Kang (State Key Laboratory of General Artificial Intelligence,
BIGAI)
Peilun Li (Shanghai Tree Graph Blockchain Research Institute)
Ning Zhang (Washington University in St. Louis)
Wei Xu (Institute for Interdisciplinary Information Sciences, Tsinghua
University)
Chongjie Zhang (Washington University in St. Louis)
AlphaZeroES:
Direct Score Maximization Outperforms Planning Loss Minimization (Page
2657)
Carlos Martin (Carnegie Mellon University)
Tuomas Sandholm (Carnegie Mellon University, Strategy Robot, Inc.,
Optimized Markets, Inc., & Strategic Machine, Inc.)
Learning
Fair and Preferable Allocations through Neural Network (Page
2660)
Ryota Maruo (Kyoto University)
Koh Takeuchi (Kyoto University)
Hisashi Kashima (Kyoto University)
Rethinking
Explainable AI: Explanations can be Deceiving (Page
2663)
Peta Masters (King's College London)
Daniel Gallagher (Monash University)
Luc Moreau (University of Sussex)
Mor Vered (Monash University)
Where
is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging
Stations Topology (Page
2666)
Enrique Mateos-Melero (Universidad Carlos III de Madrid)
Javier Moralejo-Piñas (Universidad Carlos III de Madrid)
Ángela Durán-Pinto (Universidad Carlos III de Madrid)
Francisco Martinez-Gil (Universidad de Valencia)
María Soriano (REPSOL Technology Lab)
Fernando Fernández (Universidad Carlos III de Madrid)
Predictive
Improvement through Latent Space Optimisation (Page
2669)
Alexander McCaffrey (City, University of London)
Eduardo Alonso (City, University of London)
Esther Mondragon (City, University of London)
Dynamic
Option Creation in Option-Critic Reinforcement Learning (Page
2672)
Mateus B. Melchiades (Universidade Vale do Rio dos Sinos)
Gabriel de O. Ramos (Universidade Vale do Rio dos Sinos)
Bruno C. da Silva (University of Massachusetts, Amherst)
|
|
Adapting
Beyond the Depth Limit: Counter Strategies in Large Imperfect Information
Games (Page 2675)
David Milec (AI Center, FEE, CTU in Prague)
Vojtĕch Kovařík (AI Center, FEE, CTU in Prague)
Viliam Lisý (AI Center, FEE, CTU in Prague)
Context
Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems (Page
2678)
Hamza Mohammed (Samsung Research America)
Hang Yin (Samsung Research America)
Sai Chand Boyapati (Samsung Research America)
Learning
Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems
via Intrinsic Motivation (Page
2681)
Jahir Sadik Monon (University of Dhaka)
Deeparghya Dutta Barua (University of Dhaka)
Md Mosaddek Khan (University of Dhaka)
Improving
the Effectiveness of Potential-based Reward Shaping in Reinforcement Learning (Page
2684)
Henrik Müller (L3S Research Center)
Daniel Kudenko (L3S Research Center)
Boosting
Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity (Page
2687)
Calarina Muslimani (University of Alberta)
Bram Grooten (Eindhoven University of Technology)
Deepak R.S. Mamillapalli (University of Alberta)
Mykola Pechenizkiy (Eindhoven University of Technology)
Decebal C. Mocanu (University of Luxemburg)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence
Institute)
A
Minimalist Approach to Augmentation-based Self-supervised Representation
Learning for On-policy Reinforcement Learning (Page
2690)
Nasik Muhammad Nafi (Kansas State University)
William Hsu (Kansas State University)
Navigating
Social Dilemmas with LLM-based Agents via Consideration of Future Consequences (Page
2693)
Dung Nguyen (Applied Artificial Intelligence Institute (A2I2), Deakin
University)
Hung Le (Applied Artificial Intelligence Institute (A2I2), Deakin University)
Kien Do (Applied Artificial Intelligence Institute (A2I2), Deakin University)
Sunil Gupta (Applied Artificial Intelligence Institute (A2I2), Deakin
University)
Svetha Venkatesh (Applied Artificial Intelligence Institute (A2I2),
Deakin University)
Truyen Tran (Applied Artificial Intelligence Institute (A2I2), Deakin
University)
|
|
Stochastic
$k$-Submodular Bandits with Full Bandit Feedback (Page
2696)
Guanyu Nie (Iowa State University)
Vaneet Aggarwal (Purdue University)
Christopher John Quinn (Iowa State University)
Reasoning
and Planning with Dynamic Social Norms (Page
2699)
Taylor Olson (Northwestern University)
Roberto Salas-Damian (Northwestern University)
Kenneth D. Forbus (Northwestern University)
Multi-Objective
Reinforcement Learning for Water Management (Page
2702)
Zuzanna Osika (Delft University of Technology)
Roxana Rădulescu (Utrecht University)
Jazmin Zatarain-Salazar (Delft University of Technology)
Frans A. Oliehoek (Delft University of Technology)
Pradeep K. Murukannaiah (Delft University of Technology)
Decentralized
Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory
Planning in Adverse Weather (Page
2705)
Bizhao Pang (Air Traffic Management Research Institute, Nanyang Technological
University)
Xinting Hu (Air Traffic Management Research Institute, Nanyang Technological
University)
Mingcheng Zhang (Air Traffic Management Research Institute, Nanyang
Technological University)
Sameer Alam (Air Traffic Management Research Institute, Nanyang Technological
University)
Guglielmo Lulli (Dept of Informatics, Systems and Communication, University
of Milano-Bicocca)
Learning
to Explore when Mistakes are Not Allowed (Page
2708)
Charly Pecqueux-Guézénec (Sorbonne Université, CNRS, ISIR)
Stéphane Doncieux (Sorbonne Université, CNRS, ISIR)
Nicolas Perrin-Gilbert (Sorbonne Université, CNRS, ISIR)
Enhancing
Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields (Page
2711)
Arseniy Pertzovsky (Ben-Gurion University of the Negev)
Roni Stern (Ben-Gurion University of the Negev)
Ariel Felner (Ben-Gurion University of the Negev)
Roie Zivan (Ben-Gurion University of the Negev)
Diverse
Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming (Page
2714)
Luis Pimentel (Georgia Institute of Technology)
Sean Ye (Georgia Institute of Technology)
James Ellis Grant Pagan (Sandia National Laboratories)
Matthew Gombolay (Georgia Institute of Technology)
|
|
Enhancing
Robot Navigation Policies with Task-Specific Uncertainty Management (Page
2717)
Gokul Puthumanaillam (University of Illinois Urbana-Champaign)
Paulo Padrao (Florida International University)
Jose Fuentes (Florida International University)
Leonardo Bobadilla (Florida International University)
Melkior Ornik (University of Illinois Urbana-Champaign)
Transformer
Guided Coevolution: Improved Team Formation in Multiagent Adversarial
Games (Page 2720)
Pranav Rajbhandari (Carnegie Mellon University)
Prithviraj Dasgupta (Naval Research Laboratory)
Donald Sofge (Naval Research Laboratory)
Shapley
Value-based Approach for Distributing Revenue of Matchmaking of Private
Transactions in Blockchains (Page
2723)
Rasheed (IIIT Hyderabad)
Parth Nimish Desai (IIIT Hyderabad)
Yash Chaurasia (IIIT Hyderabad)
Sujit Gujar (IIIT Hyderabad)
Requirements-based
Explainability for Multi Agent Systems (Page
2726)
Sebastian Rodriguez (RMIT University)
John Thangarajah (RMIT University)
Michael Winikoff (Victoria University of Wellington)
Towards
Automating the Design of Value-Aligned Clinical Protocols (Page
2729)
Manel Rodriguez-Soto (Artificial Intelligence Research Institute (IIIA-CSIC))
Nardine Osman (Artificial Intelligence Research Institute (IIIA-CSIC))
Carles Sierra (Artificial Intelligence Research Institute (IIIA-CSIC))
Rocio Cintas-Garcia (Hospital del Mar Research Institute (IMIM))
Cristina Farriols-Danes (Hospital del Mar Research Institute (IMIM))
Montserrat Garcia-Retortillo (Hospital del Mar Research Institute (IMIM))
Silvia Minguez-Maso (Hospital del Mar Research Institute (IMIM))
Jordi Martinez-Roldan (Hospital Sant Joan de Deu (SJD))
Liquid
Welfare and Revenue Monotonicity in Adaptive Clinching Auctions (Page
2732)
Ryosuke Sato (Keio University)
On
the Existence of EFX Allocations in Multigraphs (Page
2735)
Alkmini Sgouritsa (Athens University of Economics and Business, and
Archimedes/Athena RC)
Minas Marios Sotiriou (National and Kapodistrian University of Athens,
and National Technical University of Athens, and Athens University of
Economics and Business)
|
|
Environmental
Policies within Cournot Oligopoly (Page
2738)
Liang Shan (Renmin University of China)
Zhengyang Liu (Beijing Institute of Technology)
Haoqiang Huang (Hong Kong University of Science and Technology)
Zihe Wang (Renmin University of China)
Negotiated
Reasoning: On Provably Addressing Relative Over-Generalization (Page
2741)
Junjie Sheng (East China Normal University)
Wenhao Li (Tongji University)
Bo Jin (Tongji University)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen)
Jun Wang (East China Normal University)
Xiangfeng Wang (East China Normal University & Shanghai Formal-Tech
Information Technology Co., Lt)
Towards
Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement
Learning (Page 2744)
Umer Siddique (University of Texas San Antonio)
Peilang Li (University of Texas San Antonio)
Yongcan Cao (University of Texas San Antonio)
Hierarchical
Multi-agent Reinforcement Learning for Cyber Network Defense (Page
2747)
Aditya Vikram Singh (Northeastern University)
Ethan Rathbun (Northeastern University)
Emma Graham (Dartmouth College)
Lisa Oakley (Northeastern University)
Simona Boboila (Northeastern University)
Peter Chin (Dartmouth College)
Alina Oprea (Northeastern University)
PANDA:
Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating
in Dense Airspace (Page
2750)
Agamdeep Singh (IISER Bhopal)
Jaskirat Singh (University of Petroleum and Energy Studies)
P.B. Sujit (IISER Bhopal)
Modeling
the Collaborative Edge Data Caching Problem via a Dynamic DCOP (Page
2753)
Ziyang Song (College of Computer Science, Chongqing University)
Ziyu Chen (College of Computer Science, Chongqing University)
Jinhui Huang (College of Computer Science, Chongqing University)
Cheng Zhang (College of Computer Science, Chongqing University)
Jingyuan He (College of Computer Science, Chongqing University)
Pure
Nash Equilibrium and Strong Nash Equilibrium Computation in Additive Aggregate
Games (Page 2756)
Jared Soundy (The Beacom College of Computer & Cyber Sciences, Dakota
State University)
Mohammad T. Irfan (Department of Computer Science, Bowdoin College)
Hau Chan (School of Computing, University of Nebraska-Lincoln)
|
|
Coordinating
Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market (Page
2759)
Lennard Sund (University of Cologne)
Janik Muires (University of Cologne)
Ramin Ahadi (University of Cologne)
Konstantina Valogianni (IE University)
Wolfgang Ketter (University of Cologne)
Regret
Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits (Page
2762)
Abhishek Kumar (International Institute of Information Technology,
Hyderabad)
Andra Siva Sai Teja (Indian Institute of Technology Hyderabad)
Ganesh Ghalme (Indian Institute of Technology Hyderabad)
Sujit Gujar (International Institute of Information Technology, Hyderabad)
Y. Narahari (Indian Institute of Science)
Practical
Comparisons of Reservoir Topology Performance and Input Distribution in
Digital Reservoir Computers (Page
2765)
Lewis Thelen (University of Cincinnati)
Vikram Ravindra (University of Cincinnati)
Dynamic
Reward Sharing to Enhance Learning in the Context of Multiagent Teams (Page
2768)
Kyle Tilbury (University of Waterloo)
David Radke (Chicago Blackhawks)
Cultural
Evolution of Cooperation among LLM Agents (Page
2771)
Aron Vallinder (PIBBSS)
Edward Hughes (Google DeepMind)
Distributed
Value Decomposition Networks with Networked Agents (Page
2774)
Guilherme S. Varela (Instituto Superior Técnico, INESC-ID)
Alberto Sardinha (PUC-Rio)
Francisco S. Melo (Instituto Superior Técnico, INESC-ID)
Shifting
Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral
Financial Exchanges, A bond market study (Page
2777)
Alicia Vidler (UNSW)
Toby Walsh (UNSW)
|
|
Trading-off
Accuracy and Communication Cost in Federated Learning (Page
2780)
Mattia Jacopo Villani (King's College London)
Emanuele Natale (Université Côte d’Azur)
Frederik Mallmann-Trenn (King's College London)
Leveraging
Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement
Learning (Page 2783)
Chulabhaya Wijesundara (Northeastern University, STR)
Andrea Baisero (Northeastern University)
Gregory Castañón (STR)
Alan Carlin (STR)
Robert Platt (Northeastern University)
Christopher Amato (Northeastern University)
Will
Systems of LLM Agents Lead to Cooperation: An Investigation into a Social
Dilemma (Page 2786)
Richard Willis (King's College London)
Yali Du (King's College London)
Joel Z. Leibo (Google DeepMind)
Combining
Normative Ethics Principles to Learn Prosocial Behaviour (Page
2789)
Jessica Woodgate (University of Bristol)
Nirav Ajmeri (University of Bristol)
On-Policy
Reinforcement Learning From Failure via Sparse Reward Densification (Page
2792)
Mingkang Wu (University of Texas at San Antonio)
Yongcan Cao (University of Texas at San Antonio)
Integrating
Large Language Models with Reinforcement Learning for Generalization in
Strategic Card Games (Page
2795)
Wannian Xia (School of Artificial Intelligence, University of Chinese
Academy of Sciences)
Meng Fang (University of Liverpool)
Zihao Guo (King's College London)
Yali Du (King's College London)
Bo Xu (Institute of Automation, Chinese Academy of Sciences)
Heuristics-Assisted
Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning (Page
2798)
Yi Xie (FAET, Fudan University)
Ziqing Zhou (FAET, Fudan University)
Chun Ouyang (FAET, Fudan University)
Siao Liu (Fudan University)
Linqiang Hu (Fudan University)
Zhongxue Gan (Fudan University)
|
|
Empowering
Generalization for Deep Reinforcement Learning via Symbolic Planning (Page
2801)
Tianpei Yang (Nanjing University)
Srijita Das (University of Michigan - Dearborn)
Christabel Wayllace (New Mexico State University)
Matthew E. Taylor (University of Alberta and Amii)
Efficient
Model Checking with Semantically-Equivalent Models for vGOAL (Page
2804)
Yi Yang (imec-DistriNet, KU Leuven)
Tom Holvoet (imec-DistriNet, KU Leuven)
Using
Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards
in Multi-Agent Reinforcement Learning (Page
2807)
Yue Yang (Monash University)
Bernd Meyer (Monash University)
Frits de Nijs (Monash University)
CPE:
A New Paradigm for Policy Extraction in Offline Reinforcement Learning (Page
2810)
Zhaohui Yang (Institute of Automation, Chinese Academy of Sciences)
Xiaoxuan Wang (Institute of Automation, Chinese Academy of Sciences)
Linjing Li (Institute of Automation, Chinese Academy of Sciences)
Learning
Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination (Page
2813)
Shiqing Yao (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Jiajun Chai (Institute of Automation, Chinese Academy of Sciences)
Haixin Yu (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Yongzhe Chang (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Yuanheng Zhu (Institute of Automation, Chinese Academy of Sciences)
Xueqian Wang (Tsinghua Shenzhen International Graduate School, Tsinghua
University)
Local
Anomaly Detection with Partial Observation in Multi-agent Systems as a
Data Matching Game (Page
2816)
Zixin Ye (University of Melbourne)
Tansu Alpcan (University of Melbourne)
Christopher Leckie (University of Melbourne)
Fast
Adaption by Policy Deviation Integral Meta-reinforcement Learning with
Applications to High-speed Trains Operation (Page
2819)
Haotong Zhang (Chongqing Jiaotong University)
Wanyuan Wang (Southeast University)
|
|
Enhancing
Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion
Planning (Page 2822)
Hengrui Zhang (Beijing Jiaotong University, Beijing Key Laboratory
of Traffic Data Mining and Embodied Intelligence)
Youfang Lin (Beijing Jiaotong University, Beijing Key Laboratory of
Traffic Data Mining and Embodied Intelligence)
Shuo Shen (Interactive Entertainment Group, Tencent)
Hanfeng Lin (Beijing Jiaotong University, Beijing Key Laboratory of
Traffic Data Mining and Embodied Intelligence)
Peng Cheng (Beijing Jiaotong University, Beijing Key Laboratory of
Traffic Data Mining and Embodied Intelligence)
Sheng han (Beijing Jiaotong University , Beijing Key Laboratory of
Traffic Data Mining and Embodied Intelligence)
Kai Lv (Beijing Jiaotong University, Beijing Key Laboratory of Traffic
Data Mining and Embodied Intelligence)
SFedRec:
A Federated Learning Framework for Dynamic Session-based Recommendation (Page
2825)
Hexiao Zhang (School of Computer and Information Science, Southwest
University)
Yanni Tang (University of Auckland)
Jiamou Liu (University of Auckland)
Wu Chen (School of Computer and Information Science, Southwest University)
Experience-replay
Innovative Dynamics (Page
2829)
Tuo Zhang (University of Birmingham)
Leonardo Stella (University of Birmingham)
Julian Barreiro-Gomez (Khalifa University)
Efficient
Training of Generalizable Visuomotor Policies via Control-Aware Augmentation (Page
2832)
Yinuo Zhao (Beijing Institute of Technology)
Kun Wu (Beijing Innovation Center of Humanoid Robotics)
Tianjiao Yi (Beijing Institute of Technology)
Zhiyuan Xu (Beijing Innovation Center of Humanoid Robotics)
Zhengping Che (Beijing Innovation Center of Humanoid Robotics)
Chi Harold Liu (Beijing Institute of Technology)
Jian Tang (Beijing Innovation Center of Humanoid Robotics)
Multi-Agent
Systems for Bullying Intervention (Page
2835)
Luis Zhinin-Vera (University of Castilla-La Mancha)
José J. González-García (University of Castilla-La Mancha)
Víctor López-Jaquero (University of Castilla-La Mancha)
Elena Navarro (University of Castilla-La Mancha)
Pascual González (University of Castilla-La Mancha)
CADP:
Towards Better Centralized Learning for Decentralized Execution in MARL (Page
2838)
Yihe Zhou (Zhejiang University)
Shunyu Liu (Nanyang Technological University)
Yunpeng Qing (Zhejiang University)
Tongya Zheng (Big Graph Center, Hangzhou City University)
Kaixuan Chen (State Key Laboratory of BC&DS, Zhejiang University)
Jie Song (State Key Laboratory of BC&DS, Zhejiang University)
Mingli Song (State Key Laboratory of BC&DS, Zhejiang University)
Reducing
Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement
Learning (Page 2841)
Changxi Zhu (Utrecht University)
Mehdi Dastani (Utrecht University)
Shihan Wang (Utrecht University)
Blue
Sky Ideas
|
|
Multimodal
Agentic Model Predictive Control (Page
2844)
Saptarashmi Bandyopadhyay (Department of Computer Science, University
of Maryland)
John (Jack) Cole (Department of Computer Science, University of Maryland)
Tom Goldstein (Department of Computer Science, University of Maryland)
David Jacobs (Department of Computer Science, University of Maryland)
Safe
Systems with Unsafe Agents: Challenges and Opportunities (Page
2849)
Jeremy Bellay (Battelle Memorial Institute)
J. Timothy Balint (Battelle Memorial Institute)
Stephen A. Boxwell (Battelle Memorial lnstitute)
Jeffrey Geppert (Battelle Memorial Institute)
Contesting
Black-Box AI Decisions (Page
2854)
Virginia Dignum (Umeå University)
Loizos Michael (Open University of Cyprus & CYENS Center of Excellence)
Juan Carlos Nieves (Umeå University)
Marija Slavkovik (University of Bergen)
Julliett Suarez (University of Granada)
Andreas Theodorou (Universitat Politècnica de Catalunya)
The
Next Level of Long-Term Agent Autonomy -- Proactively Acquiring Knowledge
and Abilities (Page
2859)
Hermine J. Grosinger (Örebro University)
Tyranny
of the Minority in Social Choice: a Call to Arms (Page
2865)
Reshef Meir (Technion-Israel Institute of technology)
Tackling
the Protocol Problem in Automated Negotiation (Page
2870)
Yasser Mohammad (NEC CORPORATION)
Grounding
Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied
Cognition (Page 2875)
Francois Olivier (CRIL CNRS & Artois University)
Zied Bouraoui (CRIL CNRS & Artois University)
|
|
Market-based
Architectures in RL and Beyond (Page
2880)
Abhimanyu Pallavi Sudhir (University of Warwick)
Long Tran-Thanh (University of Warwick)
Empirical
Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities (Page
2885)
Jingyao Ren (University of Southern California)
Eric Ewing (Brown University)
T. K. Satish Kumar (University of Southern California)
Sven Koenig (University of California, Irvine)
Nora Ayanian (Brown University)
Multi-Agent
Reinforcement Learning Simulation for Environmental Policy Synthesis (Page
2890)
James Rudd-Jones (Centre for Artificial Intelligence, Department of
Computer Science, University College London)
Mirco Musolesi (Centre for Artificial Intelligence, Department of Computer
Science , University College London & Department of Computer Science and
Engineering, University of Bologna)
María Pérez-Ortiz (Centre for Artificial Intelligence, Department of
Computer Science, University College London)
Unlocking
the Potential of Decentralized LLM-based MAS: Privacy Preservation and
Monetization in Collective Intelligence (Page
2896)
Yingxuan Yang (Shanghai Jiao Tong University)
Qiuying Peng (OPPO Research Institute)
Jun Wang (OPPO Research Institute)
Ying Wen (Shanghai Jiao Tong University & SII)
Weinan Zhang (Shanghai Jiao Tong University & SII)
Towards
Foundation-model-based Multiagent System to Accelerate AI for Social Impact (Page
2901)
Yunfan Zhao (Harvard University & GE Healthcare)
Niclas Boehmer (Harvard University & Hasso Plattner Institute)
Aparna Taneja (Google Deepmind)
Milind Tambe (Harvard University & Google Deepmind)
Doctoral
Consortium
Responsible
Autonomy for Hybrid Intelligence (Page
2911)
Anastasia S. Apeiron (Utrecht University)
|
|
Learning
Diverse Multiagent Behaviors (Page
2914)
Ayhan Alp Aydeniz (Collaborative Robotics and Intelligent Systems Institute,
Oregon State University)
Role
of State in Partially Observable Reinforcement Learning (Page
2917)
Andrea Baisero (Northeastern University)
Balancing
Fairness and Efficiency in the Allocation of Indivisible Goods (Page
2920)
Karen Frilya Celine (National University of Singapore)
Human
Influences on Decision Making in Multi-Agent Systems (Page
2923)
Daniel E. Collins (University of Bristol)
Collective
Decision Making via Automated Reasoning (Page
2926)
Ari Conati (University of Helsinki)
Game-Family
Learning for Simulation-Based Games (Page
2929)
Madelyn Gatchel (University of Michigan)
|
|
Hierarchical
Frameworks for Scaling-up Multi-agent Coordination (Page
2932)
Minghong Geng (Singapore Management University)
Influence
Based Reward Shaping in Multiagent Systems (Page
2935)
Everardo Gonzalez (Oregon State University)
Extending
Consensus-based Task Allocation Algorithms with Bid Intercession to Foster
Mixed-Initiative (Page
2938)
Victor Guillet (DTIS, ONERA, Université de Toulouse)
Informed
Decision-Making via Voting (Page
2941)
Qishen Han (Rutgers University)
Causality
in Multi-Agent Systems (Page
2944)
Sylvia S. Kerkhove (Utrecht University)
Efficient
Offline Reinforcement Learning Through Dataset Characterization and Reduction (Page
2950)
Enrique Mateos-Melero (Universidad Carlos III de Madrid)
Environment-Centered
Design of Ethical Environments (Page
2953)
Arnau Mayoral-Macau (Artificial Intelligence Research Institute (IIIA-CSIC))
Modeling
and Optimizing Agent-Based Model of Conflict-Induced Forced Migration (Page
2956)
Zakaria Mehrab (University of Virginia)
|
|
Safe
Multi-Agent Learning via Shielding in Decentralized Environments (Page
2959)
Daniel Melcer (Northeastern University)
Agent-Based
Modeling of Smart Sustainable Mobility Services, Markets, and Policy (Page
2965)
Janik Muires (University of Cologne)
Humanlike
Emergent Language in Multi-Agent Systems (Page
2971)
Jannik Peters (University of Wuppertal)
The
Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity (Page
2974)
Alexandre S. Pires (University of Amsterdam)
Bi-Level
Reinforcement Learning for Multi-Robot Systems (Page
2977)
Arjun Prakash (Brown University)
Multi-Agent
Multi-Objective Planning with Contextual Lexicographic Reward Preferences (Page
2982)
Pulkit Rustagi (Oregon State University)
|
|
Deep
Learning approaches to Goal Recognition (Page
2985)
Lorenzo Serina (Information Engineering, Università degli Studi di
Brescia)
Different
Models for Fair and Efficient Resource Allocation (Page
2988)
Bin Sun (Institut für Informatik, TU Clausthal)
Ethical
Decision-Making in Multi-Agent Systems (Page
2991)
Jessica Woodgate (University of Bristol)
Learning
with Less Effort: Efficient Training and Generalization in (Multi-)Robot
Systems (Page 2994)
Peihong Yu (University of Maryland)
Demo
Track
FindMe:
A Prototype Videogame AI based on CTL with an Optimized Synthesis Algorithm (Page
2997)
Marco Aruta (University of Naples Federico II)
Vadim Malvone (Télécom Paris)
Aniello Murano (University of Naples Federico II)
Vincenzo Pio Palma (University of Naples Federico II)
Salvatore Romano (University of Naples Federico II)
[COMP24]
The Automated Negotiating Agents Competition (ANAC) 2024 Challenges and
Results (Page 3000)
Reyhan Aydogan (Özyegin Üniversity and Delft University of Technology)
Tim Baarslag (Centrum Wiskunde & Informatica (CWI) and Eindhoven University
of Technology)
Tamara C.P. Florijn (Centrum Wiskunde & Informatica (CWI) and Utrecht
University)
Katsuhide Fujita (Tokyo University of Agriculture and Technology &
National Institute for Advanced Industrial Science and Technology)
Catholijn M. Jonker (Delft University of Technology and Leiden University)
Yasser Mohammad (NEC CORPORATION & National Institute for Advanced
Industrial Science and Technology)
A
JAX-Accelerated Simulation Framework for Multi-Agent Energy Management
in Energy Communities (Page
3003)
Hicham Azmani (Vrije Universiteit Brussel)
Andries Rosseau (Vrije Universiteit Brussel)
Marjon Blondeel (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Orpheus:
Programming Protocol-Based BDI Agents (Page
3006)
Matteo Baldoni (University of Turin)
Samuel H. Christie (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Amit K. Chopra (University of Lancaster)
LUNAR:
A Runtime Verification Tool for Anomaly Detection in Gas Networks (Page
3009)
Julius Gasson (Imperial College)
Francesco Belardinelli (Imperial College)
BitML2MCMAS:
Strategic Reasoning for Bitcoin Smart Contracts (Page
3012)
Luigi Bellomarini (Bank of Italy)
Marco Favorito (Bank of Italy)
Giuseppe Galano (Bank of Italy)
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Recommending
Green Routes for Pedestrians to Reduce the Exposure to Air Pollutants
in Barcelona (Page
3015)
Filippo Bistaffa (IIIA-CSIC)
Sergio Calo Oliveira (Pompeu Fabra University)
Serious
Games for Ethical Preference Elicitation (Page
3018)
Jayati Deshmukh (University of Southampton)
Zijie Liang (University of Southampton)
Vahid Yazdanpanah (University of Southampton)
Sebastian Stein (University of Southampton)
Savapali D. Ramchurn (University of Southampton)
VITAMIN:
VerIficaTion of A MultI ageNt system (Page
3023)
Angelo Ferrando (University of Modena and Reggio Emilia)
Vadim Malvone (LTCI, Télécom Paris, Institut Polytechnique de Paris)
CRLLK:
Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving (Page
3026)
Xinwei Gao (Nanyang Technological University)
Arambam James Singh (Nanyang Technological University)
Gangadhar Royyuru (Indian Institute of Technology)
Michael Yuhas (Nanyang Technological University)
Arvind Easwaran (Nanyang Technological University)
Leveraging
Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented
Dialogues (Page 3029)
Maya Medjad (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière Lyon
2, LIRIS, UMR5205 69622 Villeurbanne, France)
Hugo Imbert (Reecall)
Bruno Yun (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière Lyon
2, LIRIS, UMR5205 69622 Villeurbanne, France)
Raphaël Szymocha (Reecall)
Frédéric Armetta (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière
Lyon 2, LIRIS, UMR5205 69622 Villeurbanne, France)
Personalized
Language Learning: A Multi-Agent System Leveraging LLMs for Teaching Luxembourgish. (Page
3032)
Tebourbi Hedi (University of Luxemburg)
Sana Nouzri (University of Luxemburg)
Yazan Mualla (Université de Technologie de Belfort Montbéliard, UTBM,
CIAD UR 7533)
Amro Najjar (Luxembourg Institute of Science and Technology)
Eva:
An LLM-based Multilingual Voice-agent Network for Restaurant Operations (Page
3035)
Zhiwei (Tony) Qin (foreva.ai (Eva))
Jianming Zhou (foreva.ai (Eva))
Simulating
Tracking Data to Advance Sports Analytics Research (Page
3038)
David Radke (Chicago Blackhawks)
Kyle Tilbury (University of Waterloo)
Chat4Elderly:
A Multi-Agent System for Personalized Wellness Using Generative AI and
Wearable Technology (Page
3041)
Vítor Crista (GECAD, Polytechnic of Porto)
Diogo Martinho (GECAD, Polytechnic of Porto)
Goreti Marreiros (GECAD, Polytechnic of Porto)
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The
Game Academy: Learn while playing, and play while learning! (Page
3044)
Simon Rey (ILLC, University of Amsterdam)
Ulle Endriss (ILLC, University of Amsterdam)
Simulating
Blockchain Applications in Large-Value Payment Systems through Agent-Based
Modeling (Page 3047)
Kenneth See (National University of Singapore)
Nicholas MacGregor Garcia (National University of Singapore)
Xiaofan Li (National University of Singapore)
UAV
Marketplace Simulation Tool for BVLOS Operations (Page
3050)
Kivanç Şerefoğlu (Ozyegin University)
Önder Gürcan (NORCE, Norwegian Research Center AS)
Reyhan Aydoğan (Özyegin Űniversity and Delft University of
Technology)
SmartPilot:Agent-Based
CoPilot for Intelligent Manufacturing (Page
3053)
Chathurangi Shyalika (Artificial Intelligence Institute, University
of South Carolina)
Renjith Prasad (Artificial Intelligence Institute, University of South
Carolina)
Alaa Al Ghazo (Artificial Intelligence Institute, University of South
Carolina)
Darssan L. Eswaramoorthi (Artificial Intelligence Institute, University
of South Carolina)
Sara Shree Muthuselvam (Artificial Intelligence Institute, University
of South Carolina)
Amit Sheth (Artificial Intelligence Institute, University of South
Carolina)
Pabuviz.org:
A Visualisation Platform to Explore Participatory Budgeting Elections (Page
3056)
Markus Utke (Eindhoven University of Technology)
Simon Rey (ILLC, University of Amsterdam)
Ulle Endriss (ILLC, University of Amsterdam)
MapBot:
A Multi-Modal Agent for Geospatial Analysis (Page
3059)
Martin Weiss (Mila, Quebec AI Institute & Polytechnique Montreal)
Nasim Rahaman (Mila, Quebec AI Institute & Max Planck Institute for
Intelligent Systems)
Chris Pal (Mila, Quebec AI Institute & Polytechnique Montreal)
Intention
Recognition in Real-Time Interactive Navigation Maps (Page
3062)
Peijie Zhao (University of Manchester & CUHK)
Zunayed Arefin (University of Manchester)
Felipe Meneguzzi (University of Aberdeen & PUCRS)
Ramon Fraga Pereira (University of Manchester & UFRGS)
JAAMAS
Track
When
Is It Acceptable to Break the Rules? Knowledge Representation of Moral
Judgements Based on Empirical Data (Extended Abstract) (Page
3065)
Edmond Awad (University of Exeter)
Sydney Levine (Massachusetts Institute of Technology)
Andrea Loreggia (University of Brescia)
Nicholas Mattei (Tulane University)
Iyad Rahwan (Center for Humans & Machines, Max Planck Institute for
Human Development)
Francesca Rossi (IBM Research)
Kartik Talamadupula (Wand AI)
Joshua Tenenbaum (Massachusetts Institute of Technology)
Max Kleiman-Weiner (University of Washington)
Beyond
the Echo Chamber: Modelling Open-Mindedness in Citizens' Assemblies (Page
3068)
Jake Barrett (University of Edinburgh)
Kobi Gal (University of Edinburgh & Ben-Gurion University)
Loizos Michael (Open University of Cyprus)
Dan Vilenchik (Ben-Gurion University)
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Contest
Partitioning in Binary Contests: Costly, yet Beneficial (Page
3071)
Priel Levy (Bar-Ilan University)
Yonatan Aumann (Bar-Ilan University)
David Sarne (Bar-Ilan University)
A
summary of: Tackling School Segregation with Transportation Network Interventions
-- An Agent-Based Modelling Approach (Page
3074)
Dimitris Michailidis (University of Amsterdam)
Mayesha Tasnim (University of Amsterdam)
Sennay Ghebreab (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)
Epistemic
Selection of Costly Alternatives: The Case of Participatory Budgeting
(Extended Abstract) (Page
3077)
Simon Rey (ILLC, University of Amsterdam)
Ulle Endriss (ILLC, University of Amsterdam)
Strategic
Manipulation of Preferences in the Rank Minimization Mechanism (Page
3080)
Mayesha Tasnim (University of Amsterdam)
Youri Weesie (Vrije Universiteit Amsterdam)
Sennay Ghebreab (University of Amsterdam)
Max Baak (ING Bank)
Carbon
Trading Supply Chain Management Based on Constrained Deep Reinforcement
Learning (Page 3083)
Qinghao Wang (Institute for Artificial Intelligence, Peking University)
Yaodong Yang (Institute for Artificial Intelligence, Peking University)
Navigating
in a Space of Game Views (extended abstract) (Page
3087)
Michael P. Wellman (University of Michigan)
Katherine Mayo (University of Michigan)
Resolving
Social Dilemmas with Minimal Reward Transfer - Extended Abstract (Page
3089)
Richard Willis (King's College London)
Yali Du (King's College London)
Joel Z. Leibo (Google DeepMind)
Michael Luck (University of Sussex) |
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