Author Index

Nagar, Anudit (Bennett University)

Extended Abstract ~ Privacy-Preserving and Accountable Multi-agent Learning (Page 1605)

Nagy, Rajmund (KTH Royal Institute of Technology)

Demonstration Track ~ A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents (Page 1779)

Najar, Anis (Laboratoire de Neurosciences Cognitives Computationnelles)

JAAMAS Track ~ Teaching a Robot with Unlabeled Instructions: The TICS Architecture (Page 1738)

Nakadai, Shinji (NEC Corporation)

Main Track ~ An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism (Page 1163)

Nakagawa, Kei (Nomura Asset Management Co., Ltd.)

Main Track ~ Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction (Page 656)

Nath, Somjit (TCS Research)

Extended Abstract ~ SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning (Page 1607)

Nau, Dana (University of Maryland)

Extended Abstract ~ Approximating Spatial Evolutionary Games using Bayesian Networks (Page 1533)

Navarra, Alfredo (University of Perugia)

Main Track ~ MOBLOT: Molecular Oblivious Robots (Page 350)

Nazarian, Shahin (University of Southern California)

Main Track ~ A General Trust Framework for Multi-Agent Systems (Page 332)

Neary, Cyrus (The University of Texas at Austin)

Main Track ~ Reward Machines for Cooperative Multi-Agent Reinforcement Learning (Page 934)

Nedelec, Thomas (Criteo AI Lab & ENS Paris Saclay)

Main Track ~ Adversarial Learning in Revenue-Maximizing Auctions (Page 955)

Neff, Michael (University of California Davis)

Extended Abstract ~ It's A Match! Gesture Generation Using Expressive Parameter Matching (Page 1495)

Neville, Jennifer (Purdue University)

Extended Abstract ~ Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation (Page 1512)

Nguyen, Duong (University of California, Davis)

Extended Abstract ~ HOAD: The Hanabi Open Agent Dataset (Page 1646)

Nguyen, Phuong H. (Eindhoven University of Technology)

Blue Sky Ideas Track ~ Sparse Training Theory for Scalable and Efficient Agents (Page 34)

Ni, Xiaoyuan (Hong Kong University of Science and Technology)

Main Track ~ Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations (Page 1191)

Niedermeier, Rolf (TU Berlin)

Main Track ~ High-Multiplicity Fair Allocation Made More Practical (Page 260)

Blue Sky Ideas Track ~ Broadening the Research Agenda for Computational Social Choice: Multiple Preference Profiles and Multiple Solutions (Page 1)

Niekum, Scott (University of Texas at Austin)

Main Track ~ Efficiently Guiding Imitation Learning Agents with Human Gaze (Page 1109)

Nieves, Juan Carlos (Umeå University)

Main Track ~ Interrogating the Black Box: Transparency through Information-Seeking Dialogues (Page 106)

Extended Abstract ~ Toward Consistent Agreement Approximation in Abstract Argumentation and Beyond (Page 1551)

Nikou, Alexandros (Ericsson Research)

Demonstration Track ~ Symbolic Reinforcement Learning for Safe RAN Control (Page 1782)

Nishida, Ryo (Tohoku University)

Main Track ~ Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference (Page 1290)

Niu, Yaru (Georgia Institute of Technology)

Main Track ~ Multi-Agent Graph-Attention Communication and Teaming (Page 964)

Niyato, Dusit (Nanyang Technological University)

Extended Abstract ~ A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence (Page 1707)

Norman, Timothy J. (University of Southampton)

Main Track ~ Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football (Page 196)

Blue Sky Ideas Track ~ Responsibility Research for Trustworthy Autonomous Systems (Page 57)

Noukhovitch, Michael (Université de Montréal)

Main Track ~ Emergent Communication under Competition (Page 974)

Nowé, Ann (AAMAS-2021 Programme Chair)

Welcome Message from the Chairs

O'Callaghan, David (National University of Ireland Galway)

Extended Abstract ~ Tunable Behaviours in Sequential Social Dilemmas using Multi-Objective Reinforcement Learning (Page 1610)

Oesterheld, Caspar (Duke University)

Main Track ~ Safe Pareto Improvements for Delegated Game Playing (Page 983)

Oh, Junhyuk (DeepMind)

Extended Abstract ~ Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity (Page 1501)

Okudo, Takato (The Graduate University of Advanced Studies & SOKENDAI)

Extended Abstract ~ Online Learning of Shaping Reward with Subgoal Knowledge (Page 1613)

Oliehoek, Frans A. (Delft University of Technology)

Main Track ~ Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork (Page 1308)

Main Track ~ Loss Bounds for Approximate Influence-Based Abstraction (Page 377)

Blue Sky Ideas Track ~ Environment Shift Games: Are Multiple Agents the Solution, and not the Problem, to Non-Stationarity? (Page 23)

Extended Abstract ~ Difference Rewards Policy Gradients (Page 1475)

Omicini, Andrea (Università di Bologna)

JAAMAS Track ~ Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review (Page 1721)

Onishi, Masaki (AIST)

Main Track ~ Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference (Page 1290)

Extended Abstract ~ MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation (Page 1652)

Oren, Nir (University of Aberdeen)

Main Track ~ Explaining BDI Agent Behaviour through Dialogue (Page 429)

Orlić, Marin (Ericsson Research)

Demonstration Track ~ Symbolic Reinforcement Learning for Safe RAN Control (Page 1782)

Ou, Han-Ching (Harvard University)

Main Track ~ Active Screening for Recurrent Diseases: A Reinforcement Learning Approach (Page 992)

Oualhadj, Youssouf (LACL - Université Paris-Est Créteil)

Main Track ~ Rational Synthesis in the Commons with Careless and Careful Agents (Page 368)

Ozaki, Yoshihiko (National Institute of Advanced Industrial Science and Technology & GREE, Inc.)

Extended Abstract ~ MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation (Page 1652)

Paccagnan, Dario (Imperial College London)

Main Track ~ Tractable Mechanisms for Computing Near-Optimal Utility Functions (Page 306)

Pacheco, Jorge M. (Universidade do Minho)

Extended Abstract ~ Social Network Interventions to Prevent Reciprocity-driven Polarization (Page 1643)

Padmanabhan, Vineet (University of Hyderabad)

Main Track ~ Committee Selection using Attribute Approvals (Page 683)

Paleja, Rohan (Georgia Institute of Technology)

Main Track ~ Multi-Agent Graph-Attention Communication and Teaming (Page 964)

Pan, Keyu (University of Electronic Science and Technology of China)

Extended Abstract ~ Fast Adaptation to External Agents via Meta Imitation Counterfactual Regret Advantage (Page 1709)

Pan, Xinyue (University of Maryland)

Extended Abstract ~ Approximating Spatial Evolutionary Games using Bayesian Networks (Page 1533)

Pan, Yinghui (Shenzhen University)

Demonstration Track ~ ATPT: Automate Typhoon Contingency Plan Generation from Text (Page 1788)

Papageorgiou, Markos (Technical University of Crete)

Main Track ~ Collaborative Multiagent Decision Making for Lane-Free Autonomous Driving (Page 1335)

Papamichail, Ioannis (Technical University of Crete)

Main Track ~ Collaborative Multiagent Decision Making for Lane-Free Autonomous Driving (Page 1335)

Park, Haewon (Massachusetts Institute of Technology)

Main Track ~ Towards Transferrable Personalized Student Models in Educational Games (Page 1245)

Park, Jinkyoo (Korea Advanced Institute of Science and Technology)

Main Track ~ Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning (Page 1091)

Parkes, David C. (Harvard University)

Extended Abstract ~ Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments (Page 1686)

Parnika, P. (MindTree Ltd., India)

Extended Abstract ~ Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning (Page 1616)

Paruchuri, Praveen (International Institute of Information Technology, Hyderabad)

Main Track ~ Action Selection for Composable Modular Deep Reinforcement Learning (Page 565)

Patel, Deval (Indian Institute of Science)

Main Track ~ Group Fairness for Knapsack Problems (Page 1001)

Patel, Neel (University of Southern California)

Main Track ~ The Price is (Probably) Right: Learning Market Equilibria from Samples (Page 755)

Pazderski, Witold (Polish Academy of Sciences)

Demonstration Track ~ STV+Reductions: Towards Practical Verification of Strategic Ability Using Model Reductions (Page 1770)

Pechenizkiy, Mykola (Eindhoven University of Technology)

Extended Abstract ~ Self-Attention Meta-Learner for Continual Learning (Page 1658)

Pelachaud, Catherine (Sorbonne Université, CNRS, ISIR)

Main Track ~ Decision Model for a Virtual Agent that can Touch and be Touched (Page 232)

Penczek, Wojciech (Polish Academy of Sciences)

Extended Abstract ~ Strategic Abilities of Asynchronous Agents: Semantic Side Effects (Page 1545)

Demonstration Track ~ ADT2AMAS: Managing Agents in Attack-Defence Scenarios (Page 1749)

Pennock, David M. (Rutgers University)

Main Track ~ Log-time Prediction Markets for Interval Securities (Page 465)

Perchet, Vianney (ENSAE & Criteo AI Lab)

Main Track ~ Adversarial Learning in Revenue-Maximizing Auctions (Page 955)

Pereira, André (KTH Royal Institute of Technology)

Demonstration Track ~ A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents (Page 1779)

Perez-Liebana, Diego (Queen Mary University of London)

Main Track ~ Action Advising with Advice Imitation in Deep Reinforcement Learning (Page 629)

Pernpeintner, Michael (University of Mannheim)

Extended Abstract ~ Toward a Self-Learning Governance Loop for Competitive Multi-Attribute MAS (Page 1619)

Perny, Patrice (LIP6, UMR 7606, Sorbonne Université)

Extended Abstract ~ Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model (Page 1518)

Perrault, Andrew (Harvard University)

Main Track ~ Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits (Page 710)

Perrault, Andrew (Harvard University)

Main Track ~ Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits (Page 880)

Perret, Cedric (University of Exeter)

Extended Abstract ~ Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game (Page 1480)

Perrussel, Laurent (Université de Toulouse - IRIT)

Extended Abstract ~ A General Framework for the Logical Representation of Combinatorial Exchange Protocols (Page 1602)

Petrucci, Laure (LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord)

Demonstration Track ~ ADT2AMAS: Managing Agents in Attack-Defence Scenarios (Page 1749)

Pham, Huyen (University of California, Davis)

Extended Abstract ~ HOAD: The Hanabi Open Agent Dataset (Page 1646)

Pherwani, Arjun (University of Central Florida)

Extended Abstract ~ Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem (Page 1510)

Picard, Gauthier (ONERA DTIS, Université de Toulouse)

Blue Sky Ideas Track ~ Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations (Page 39)

Extended Abstract ~ A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles (Page 1489)

Pietquin, Olivier (Google Research)

Main Track ~ Self-Imitation Advantage Learning (Page 501)

Main Track ~ Show Me the Way: Intrinsic Motivation from Demonstrations (Page 620)

Pineau, Joelle (McGill University, MILA & Facebook)

Main Track ~ TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? (Page 1082)

Pinto, Tiago (Polytechnic Institute of Porto)

Blue Sky Ideas Track ~ Sparse Training Theory for Scalable and Efficient Agents (Page 34)

Pitoni, Valentina (University of L'Aquila)

Extended Abstract ~ A Logic of Inferable in Multi-Agent Systems with Budget and Costs (Page 1483)

Platt, Robert (Northeastern University)

Main Track ~ Action Priors for Large Action Spaces in Robotics (Page 205)

Plaxton, C. Gregory (University of Texas at Austin)

Extended Abstract ~ Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences (Page 1578)

Polukarov, Maria (King's College London)

Extended Abstract ~ Call Markets with Adaptive Clearing Intervals (Page 1587)

Poupart, Pascal (University of Waterloo & Vector Institute)

Main Track ~ Partially Observable Mean Field Reinforcement Learning (Page 537)

Pouwelse, Johan (TU Delft)

Main Track ~ Achieving Sybil-Proofness in Distributed Work Systems (Page 1263)

Pralet, Cédric (ONERA DTIS, Université de Toulouse)

Blue Sky Ideas Track ~ Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations (Page 39)

Prédhumeau, Manon (University Grenoble Alpes, LIG)

Main Track ~ An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces (Page 1010)

Doctoral Consortium ~ Simulating Realistic Pedestrian Behaviors in the Context of Autonomous Vehicles in Shared Spaces (Page 1829)

Pujari, Arun K. (Mahindra University)

Main Track ~ Committee Selection using Attribute Approvals (Page 683)

Rabinovich, Zinovi (Nanyang Technological University)

Main Track ~ Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning (Page 1398)

Rachmut, Ben (Ben-Gurion University of the Negev)

Main Track ~ Latency-Aware Local Search for Distributed Constraint Optimization (Page 1019)

Radanovic, Goran (Max Planck Institute for Software Systems)

Extended Abstract ~ Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments (Page 1686)

Rago, Antonio (Imperial College London)

Demonstration Track ~ Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks (Page 1761)

Rahman, Md. Musfiqur (University of Dhaka)

Main Track ~ Accelerating Recursive Partition-Based Causal Structure Learning (Page 1028)

Rahmani, Lokman (Fetch.ai)

Main Track ~ Peer-to-peer Autonomous Agent Communication Network (Page 1037)

Rahwan, Talal (New York University Abu Dhabi)

Main Track ~ Strategic Evasion of Centrality Measures (Page 1389)

Raizman, Lev (University of Waterloo)

Main Track ~ Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning (Page 1398)

Rajasekaran, Senthil (Rice University)

Main Track ~ Nash Equilibria in Finite-Horizon Multiagent Concurrent Games (Page 1046)

Rajkumar, Arun (Indian Institute of Technology Madras)

Main Track ~ Sequential Ski Rental Problem (Page 1173)

Ramchurn, Sarvapali D. (University of Southampton)

Main Track ~ Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football (Page 196)

Ramezani, Fahimeh (University of New South Wales Sydney)

Main Track ~ Multi-Robot Task Allocation-Complexity and Approximation (Page 133)

Ranjbartabar, Hedieh (Macquarie University)

Extended Abstract ~ Personalising the Dialogue of Relational Agents for First-Time Users (Page 1622)

Rao, Sachit (International Institute of Information Technology - Bangalore)

Extended Abstract ~ Finite-time Consensus in the Presence of Malicious Agents (Page 1625)

Rao, Shrisha (International Institute of Information Technology - Bangalore)

Extended Abstract ~ Finite-time Consensus in the Presence of Malicious Agents (Page 1625)

Rasheed, Ayman (University of Dhaka)

Main Track ~ Accelerating Recursive Partition-Based Causal Structure Learning (Page 1028)

Rastgar, Fatemeh (University of Tartu)

Doctoral Consortium ~ Exploiting Hidden Convexities for Real-time and Reliable Optimization Algorithms for Challenging Motion Planning and Control Applications (Page 1832)

Ravichandar, Harish (Georgia Institute of Technology)

JAAMAS Track ~ STRATA: Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents (Page 1740)

Ravindran, Balaraman (Indian Institute of Technology, Madras)

Main Track ~ Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty (Page 1353)

Main Track ~ SEERL: Sample Efficient Ensemble Reinforcement Learning (Page 1100)

Ray, Abhik (BTS-Pilani (Goa))

Extended Abstract ~ SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning (Page 1607)

Ren, Jingyao (University of Southern California)

Main Track ~ MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings (Page 1055)

Ren, Zhicheng (University of California, Los Angeles)

Main Track ~ Learning Correlated Communication Topology in Multi-Agent Reinforcement learning (Page 456)

Rey, Simon (University of Amsterdam)

Extended Abstract ~ Fairness in Long-Term Participatory Budgeting (Page 1566)

Reymond, Mathieu (Vrije Universiteit Brussel)

Extended Abstract ~ Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning (Page 1530)

Ricci, Alessandro (University of Bologna)

JAAMAS Track ~ Agent Programming in the Cognitive Era (Page 1718)

JAAMAS Track ~ Programming Agent-based Mobile Apps: The JaCa-Android Framework (Page 1724)

Richards, Arthur (University of Bristol)

Extended Abstract ~ Reliability-Aware Multi-UAV Coverage Path Planning using a Genetic Algorithm (Page 1584)

Richards, Deborah (Macquarie University)

Main Track ~ Reason Explanation for Encouraging Behaviour Change Intention (Page 68)

Extended Abstract ~ Personalising the Dialogue of Relational Agents for First-Time Users (Page 1622)

Robinson, Thomas (University of Wollongong)

Extended Abstract ~ Multiagent Task Allocation and Planning with Multi-Objective Requirements (Page 1628)

Rocktäschel, Tim (University College London)

Main Track ~ Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning (Page 674)

Rodriguez, Sebastian (RMIT University)

Main Track ~ User and System Stories: An Agile Approach for Managing Requirements in AOSE (Page 1064)

Rodríguez, Arles (Fundación Universitaria Konrad Lorenz)

JAAMAS Track ~ A Decentralised Self-Healing Approach for Network Topology Maintenance (Page 1743)

Rodríguez-Aguilar, Juan A. (Artificial Intelligence Research Institute (IIIA-CSIC))

Extended Abstract ~ Towards a Competence-Based Approach to Allocate Teams to Tasks (Page 1504)

Rodríguez-Lera, Francisco J. (University of León)

Extended Abstract ~ Optimized Execution of PDDL Plans using Behavior Trees (Page 1596)

Roijers, Diederik M. (Vrije Universiteit Brussel & HU University of Applied Sciences Utrecht)

Main Track ~ Cooperative Prioritized Sweeping (Page 160)

Main Track ~ Scalable Optimization for Wind Farm Control using Coordination Graphs (Page 1362)

Extended Abstract ~ Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning (Page 1530)

Roman, Charlotte (University of California, Berkeley)

Main Track ~ Accumulating Risk Capital Through Investing in Cooperation (Page 1073)

Romero, Alejandro (Universidade da Coruña)

Extended Abstract ~ An Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robots (Page 1631)

Romoff, Joshua (McGill University & Mila)

Main Track ~ TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? (Page 1082)

Rong, Zhihai (University of Electronic Science and Technology of China)

Main Track ~ Modeling Replicator Dynamics in Stochastic Games Using Markov Chain Method (Page 420)

Rosa Amado, Leonardo (Pontifical Catholic University of Rio Grande do Sul)

Extended Abstract ~ Combining LSTMs and Symbolic Approaches for Robust Plan Recognition (Page 1634)

Rosenfeld, Avi (Jerusalem College of Technology)

Blue Sky Ideas Track ~ Better Metrics for Evaluating Explainable Artificial Intelligence (Page 45)

Rothschild, David M. (Microsoft Research)

Main Track ~ Log-time Prediction Markets for Interval Securities (Page 465)

Roussel, Stéphanie (ONERA DTIS, Université de Toulouse)

Blue Sky Ideas Track ~ Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations (Page 39)

Rozier, Kristin Y. (Iowa State University)

JAAMAS Track ~ Summarising a Framework for the Certification of Reliable Autonomous Systems (Page 1733)

Russell, Stuart (University of California, Berkeley)

Main Track ~ Accumulating Risk Capital Through Investing in Cooperation (Page 1073)

Ryu, Heechang (Korea Advanced Institute of Science and Technology)

Main Track ~ Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning (Page 1091)

Sachdeva, Enna (Oregon State University)

Extended Abstract ~ Dynamic Skill Selection for Learning Joint Actions (Page 1637)

Sadilek, Adam (Google Inc.)

Extended Abstract ~ Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway (Page 1680)

Saisubramanian, Sandhya (University of Massachusetts, Amherst)

Extended Abstract ~ Mitigating Negative Side Effects via Environment Shaping (Page 1640)

Sakurai, Yuko (National Institute of Advanced Industrial Science and Technology)

Main Track ~ Mechanism Design for Public Projects via Neural Networks (Page 1380)

Santos, Fernando P. (Princeton University & University of Amsterdam)

Main Track ~ Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks (Page 898)

Extended Abstract ~ Eliciting Fairness in Multiplayer Bargaining through Network-Based Role Assignment (Page 1683)

Extended Abstract ~ Social Network Interventions to Prevent Reciprocity-driven Polarization (Page 1643)

Santos, Francisco C. (INESC-ID & Universidade de Lisboa)

Main Track ~ Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks (Page 898)

Extended Abstract ~ Eliciting Fairness in Multiplayer Bargaining through Network-Based Role Assignment (Page 1683)

Extended Abstract ~ Social Network Interventions to Prevent Reciprocity-driven Polarization (Page 1643)

Santos, Pedro A. (INESC-ID & Universidade de Lisboa)

Extended Abstract ~ CHARET: Character-centered Approach to Emotion Tracking in Stories (Page 1469)

Saphal, Rohan (Indian Institute of Technology Madras)

Main Track ~ SEERL: Sample Efficient Ensemble Reinforcement Learning (Page 1100)

Saran, Akanksha (University of Texas at Austin)

Main Track ~ Efficiently Guiding Imitation Learning Agents with Human Gaze (Page 1109)

Sarathy, Vasanth (Tufts University)

Main Track ~ A Novelty-Centric Agent Architecture for Changing Worlds (Page 925)

Sarathy, Vasanth (Smart Information Flow Technologies)

Main Track ~ SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning (Page 1118)

Sarker, Amit (University of Dhaka)

Main Track ~ A Local Search Based Approach to Solve Continuous DCOPs (Page 1127)

Sarmasi, Aron (University of California, Davis)

Extended Abstract ~ HOAD: The Hanabi Open Agent Dataset (Page 1646)

Sasaki, Fumihiro (RICOH COMPANY, LTD.)

Extended Abstract ~ Simultaneous Learning of Moving and Active Perceptual Policies for Autonomous Robot (Page 1527)

Sathiyanarayanan, Vikraman (University of Southern California)

Main Track ~ MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings (Page 1055)

Saund, Carolyn (University of Glasgow)

Main Track ~ CMCF: An Architecture for Realtime Gesture Generation by Clustering Gestures by Motion and Communicative Function (Page 1136)

Savani, Rahul (University of Liverpool)

Extended Abstract ~ Difference Rewards Policy Gradients (Page 1475)

Scheutz, Matthias (Tufts University)

Main Track ~ A Novelty-Centric Agent Architecture for Changing Worlds (Page 925)

Main Track ~ SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning (Page 1118)

Schlingloff, Bernd-Holger (Humboldt University & FOKUS)

JAAMAS Track ~ Summarising a Framework for the Certification of Reliable Autonomous Systems (Page 1733)

Schmid, Martin (DeepMind)

Extended Abstract ~ Sound Algorithms in Imperfect Information Games (Page 1674)

Schoenebeck, Grant (University of Michigan)

Main Track ~ Timely Information from Prediction Markets (Page 1145)

Schwind, Nicolas (National Institute of Advanced Industrial Science and Technology)

Main Track ~ Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience (Page 1154)

Segal-Halevi, Erel (Ariel University)

Extended Abstract ~ A Global Multi-Sided Market with Ascending-Price Mechanism (Page 1515)

Senbaslar, Baskin (University of Southern California)

Main Track ~ MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings (Page 1055)

Sengupta, Ayan (NEC Corporation)

Main Track ~ An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism (Page 1163)

Setayeshfar, Omid (University of Georgia)

Main Track ~ Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs (Page 1200)

Shah, Anant (Indian Institute of Technology Madras)

Main Track ~ Sequential Ski Rental Problem (Page 1173)

Shah, Rohin (University of California, Berkeley)

Extended Abstract ~ Evaluating the Robustness of Collaborative Agents (Page 1560)

Shahaf, Gal (Weizmann Institute of Science)

Extended Abstract ~ Egalitarian and Just Digital Currency Networks (Page 1649)

Shani, Guy (Ben Gurion University of the Negev)

Extended Abstract ~ Partial Disclosure of Private Dependencies in Privacy Preserving Planning (Page 1575)

Shapiro, Ehud (Weizmann Institute of Science)

Extended Abstract ~ Egalitarian and Just Digital Currency Networks (Page 1649)

Extended Abstract ~ How to Amend a Constitution? Model, Axioms, and Supermajority Rules (Page 1443)

Sharon, Guni (Texas A&M University)

Main Track ~ Multiagent Epidemiologic Inference through Realtime Contact Tracing (Page 1182)

Shaw, Kenneth (Carnegie Mellon University)

JAAMAS Track ~ STRATA: Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents (Page 1740)

Shekdar, Soumil (University of California, Davis)

Extended Abstract ~ HOAD: The Hanabi Open Agent Dataset (Page 1646)

Shen, Jocelyn (Massachusetts Institute of Technology)

Main Track ~ Towards Transferrable Personalized Student Models in Educational Games (Page 1245)

Shen, Zehan (Nanjing University)

Extended Abstract ~ Fast Adaptation to External Agents via Meta Imitation Counterfactual Regret Advantage (Page 1709)

Sheng, Junjie (East China Normal University)

Main Track ~ Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning (Page 773)

Shi, Weidong (University of Houston)

Main Track ~ A Game Theoretical Analysis of Non-Linear Blockchain System (Page 323)

Shi, Wenlei (Microsoft Research)

Main Track ~ Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations (Page 1191)

Shigenaka, Shusuke (University of Tsukuba)

Extended Abstract ~ MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation (Page 1652)

Shin, Hayong (Korea Advanced Institute of Science and Technology)

Main Track ~ Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning (Page 1091)

Shinde, Aditya (University of Georgia)

Main Track ~ Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs (Page 1200)

Shiraishi, Masashi (Mitsubishi Electric Corporation)

Extended Abstract ~ Coverage Control under Connectivity Constraints (Page 1554)

Short, Elaine S. (Tufts University)

Main Track ~ Efficiently Guiding Imitation Learning Agents with Human Gaze (Page 1109)

Shpilman, Aleksei (JetBrains Research & HSE University)

Extended Abstract ~ Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments (Page 1536)

Shriram, Sharad (Indian Institute of Science, Bengaluru)

Extended Abstract ~ Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway (Page 1680)

Si, Mei (Rensselaer Polytechnic Institute)

Extended Abstract ~ Image Sequence Understanding through Narrative Sensemaking (Page 1458)

Siddiqui, Shoeb (International Institute of Information Technology, Hyderabad)

Extended Abstract ~ We might walk together, but I run faster: Network Fairness and Scalability in Blockchains (Page 1539)

Sidoruk, Teofil (Polish Academy of Sciences & Warsaw University of Technology)

Extended Abstract ~ Strategic Abilities of Asynchronous Agents: Semantic Side Effects (Page 1545)

Demonstration Track ~ ADT2AMAS: Managing Agents in Attack-Defence Scenarios (Page 1749)

Siebert, Luciano C. (Delft University of Technology)

Main Track ~ Axies: Identifying and Evaluating Context-Specific Values (Page 799)

Sierra, Carles (Artificial Intelligence Research Institute (IIIA-CSIC))

Main Track ~ Value-Guided Synthesis of Parametric Normative Systems (Page 907)

Extended Abstract ~ Towards a Competence-Based Approach to Allocate Teams to Tasks (Page 1504)

Sigaud, Olivier (Sorbonne Université)

JAAMAS Track ~ Teaching a Robot with Unlabeled Instructions: The TICS Architecture (Page 1738)

Sikdar, Sujoy (Binghamton University)

Main Track ~ Sequential Mechanisms for Multi-type Resource Allocation (Page 1209)

Siler, Cory (University of Kentucky)

Extended Abstract ~ The Sabre Narrative Planner: Multi-Agent Coordination with Intentions and Beliefs (Page 1698)

Silva, Arlei (University of California, Santa Barbara)

Main Track ~ Network Robustness via Global k-cores (Page 438)

Silva, Gustavo R. (Universidade Federal de Santa Catarina)

Main Track ~ Active Perception within BDI Agents Reasoning Cycle (Page 1218)

Simão, Thiago D. (Delft University of Technology)

Main Track ~ AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training (Page 1226)

Simoens, Pieter (Ghent University - imec)

Main Track ~ No More Hand-Tuning Rewards: Masked Constrained Policy Optimization for Safe Reinforcement Learning (Page 1344)

Sinapov, Jivko (Tufts University)

Main Track ~ A Novelty-Centric Agent Architecture for Changing Worlds (Page 925)

Main Track ~ SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning (Page 1118)

Singh, Arambam James (Singapore Management University)

Extended Abstract ~ Approximate Difference Rewards for Scalable Multigent Reinforcement Learning (Page 1655)

Demonstration Track ~ Ship-GAN: Generative Modeling Based Maritime Traffic Simulator (Page 1755)

Singleton, Joseph (Cardiff University)

Main Track ~ Rankings for Bipartite Tournaments via Chain Editing (Page 1236)

Sinha, Arunesh (Singapore Management University)

Demonstration Track ~ Ship-GAN: Generative Modeling Based Maritime Traffic Simulator (Page 1755)

Sinha, Vaibhav B. (University of Texas at Austin)

Extended Abstract ~ Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences (Page 1578)

Slavkovik, Marija (University of Bergen)

Main Track ~ Egalitarian Judgment Aggregation (Page 214)

Slumbers, Oliver (University College London)

Blue Sky Ideas Track ~ Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems (Page 51)

Smith, Wally (The University of Melbourne)

Main Track ~ Extended Goal Recognition: A Planning-Based Model for Strategic Deception (Page 871)

Sokar, Ghada (Eindhoven University of Technology)

Extended Abstract ~ Self-Attention Meta-Learner for Continual Learning (Page 1658)

Sooriyabandara, Mahesh (Toshiba Research Europe Ltd.)

Extended Abstract ~ Reliability-Aware Multi-UAV Coverage Path Planning using a Genetic Algorithm (Page 1584)

Sornat, Krzysztof (Massachusetts Institute of Technology)

Extended Abstract ~ Preserving Consistency for Liquid Knapsack Voting (Page 1542)

Spaan, Matthijs T. J. (Delft University of Technology)

Main Track ~ AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training (Page 1226)

Spalanzani, Anne (University Grenoble Alpes, Inria)

Main Track ~ An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces (Page 1010)

Spaulding, Samuel (Massachusetts Institute of Technology)

Main Track ~ Towards Transferrable Personalized Student Models in Educational Games (Page 1245)

Spirakis, Paul G. (University of Liverpool & University of Patras)

Main Track ~ Walrasian Equilibria in Markets with Small Demands (Page 413)

Sridharan, Ramanujan (University of Warwick)

Main Track ~ A Hotelling-Downs Framework for Party Nominees (Page 593)

Stan, Daniel (Technical University of Kaiserslautern)

Main Track ~ Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems (Page 1254)

Stannat, Alexander (TU Delft)

Main Track ~ Achieving Sybil-Proofness in Distributed Work Systems (Page 1263)

Steeples, Thomas (University of Oxford)

Main Track ~ Mean-Payoff Games with ω-Regular Specifications (Page 1272)

Stein, Sebastian (University of Southampton)

Blue Sky Ideas Track ~ Responsibility Research for Trustworthy Autonomous Systems (Page 57)

Stern, Roni (Palo Alto Research Center & Ben Gurion University of the Negev)

Extended Abstract ~ Partial Disclosure of Private Dependencies in Privacy Preserving Planning (Page 1575)

Stone, Peter (The University of Texas at Austin & Sony AI)

Main Track ~ Multiagent Epidemiologic Inference through Realtime Contact Tracing (Page 1182)

Main Track ~ Scalable Multiagent Driving Policies for Reducing Traffic Congestion (Page 386)

Blue Sky Ideas Track ~ The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care (Page 28)

Streviniotis, Errikos (Technical University of Crete)

Extended Abstract ~ A Succinct Representation Scheme for Cooperative Games under Uncertainty (Page 1661)

Stringer, Peter (The University of Manchester)

Doctoral Consortium ~ Adaptable and Verifiable BDI Reasoning (Page 1835)

Stuckey, Peter J. (Monash University)

Extended Abstract ~ Anytime Multi-Agent Path Finding via Large Neighborhood Search (Page 1581)

Studzinski Perotto, Filipo (University of Toulouse)

Extended Abstract ~ Gambler Bandits and the Regret of Being Ruined (Page 1664)

Su, Guoxin (University of Wollongong)

Extended Abstract ~ Multiagent Task Allocation and Planning with Multi-Objective Requirements (Page 1628)

Such, Jose M. (King's College London)

Main Track ~ ELVIRA: An Explainable Agent for Value and Utility-Driven Multiuser Privacy (Page 916)

Sudarsanam, Depak (TCS Research)

Main Track ~ To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning (Page 862)

Sun, Ankang (University of Warwick)

Main Track ~ Connections between Fairness Criteria and Efficiency for Allocating Indivisible Chores (Page 1281)

Sun, Chuxiong (The Institute of Software, Chinese Academy of Sciences)

Extended Abstract ~ Intrinsic Motivated Multi-Agent Communication (Page 1668)

Sun, Wei-Fang (National Tsing Hua University)

Extended Abstract ~ A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning (Page 1671)

Sundaresan, Rajesh (Indian Institute of Science, Bengaluru & Strand Life Sciences)

Extended Abstract ~ Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway (Page 1680)

Sunny, Ahmed Imtiaz (Texas Tech University)

Main Track ~ A Game Theoretical Analysis of Non-Linear Blockchain System (Page 323)

Surdu, Bogdan (Imperial College London)

Demonstration Track ~ Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks (Page 1761)

Suriyanarayanan, Ramasubramanian (TCS Research)

Main Track ~ To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning (Page 862)

Šustr, Michal (Czech Technical University & DeepMind)

Extended Abstract ~ Sound Algorithms in Imperfect Information Games (Page 1674)