Author Index

Tabakhi, Atena M. (Washington University in St. Louis)

Extended Abstract ~ Branch-and-Bound Heuristics for Incomplete DCOPs (Page 1677)

Takami, Shunki (University of Tsukuba)

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

Takeuchi, Koh (Kyoto University)

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

Talekar, Alok (Google Inc.)

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

Talmon, Nimrod (Ben-Gurion University of the Negev)

Main Track ~ Partition Aggregation for Participatory Budgeting (Page 665)

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

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

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

Tambe, Milind (Harvard University)

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

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

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

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

Tambe, Milind (Google Inc.)

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

Extended Abstract ~ Learning Index Policies for Restless Bandits with Application to Maternal Healthcare (Page 1467)

Tang, Shaojie (University of Texas at Dallas)

Main Track ~ Adaptive Cascade Submodular Maximization (Page 1299)

Tang, Shi Yuan (Nanyang Technological University & Alibaba Group)

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

Doctoral Consortium ~ Improving Sample-based Reinforcement Learning through Complex Non-parametric Distributions (Page 1837)

Tang, Yunhao (Columbia University)

Main Track ~ Guiding Evolutionary Strategies with Off-Policy Actor-Critic (Page 1317)

Tanigaki, Yuki (National Institute of Advanced Industrial Science and Technology)

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

Taticchi, Carlo (Gran Sasso Science Institute)

Doctoral Consortium ~ A Concurrent Language for Negotiation and Debate with Argumentation (Page 1840)

Tatiya, Gyan (Tufts University)

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

Taylor, Matthew E. (University of Alberta & Alberta Machine Intelligence Institute (Amii))

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

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

Tedeschi, Stefano (Università di Torino)

Main Track ~ Robustness Based on Accountability in Multiagent Organizations (Page 142)

Demonstration Track ~ Distributing Responsibilities for Exception Handling in JaCaMo (Page 1752)

Teixeira, Andreia Sofia (INESC-ID and Hospital da Luz Learning Health Luz Saúde & Indiana University Network Science Institute)

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

Tendulkar, Ashish (Google Inc.)

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

Teo, Sin G. (Institute for Infocomm Research)

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

Terzopoulou, Zoi (University of Amsterdam)

Main Track ~ Egalitarian Judgment Aggregation (Page 214)

Thakur, Abhishek (BRINC Drones)

JAAMAS Track ~ On Teammate-Pattern-Aware Autonomy (Page 1730)

Thangarajah, John (RMIT University)

Main Track ~ Intention Progression using Quantitative Summary Information (Page 1416)

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

Theodorou, Andreas (Umeå University)

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

Thouvenin, Indira (Université de Technologie de Compiègne, CNRS)

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

Tirumala, Dhruva (DeepMind)

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

Todo, Taiki (Kyushu University)

Main Track ~ Mechanism Design for Housing Markets over Social Networks (Page 692)

Toffano, Federico (University College Cork)

Main Track ~ Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation (Page 1326)

Toni, Francesca (Imperial College London)

Main Track ~ Aggregating Bipolar Opinions (Page 746)

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

Topcu, Ufuk (The University of Texas at Austin)

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

Main Track ~ Safe Multi-Agent Reinforcement Learning via Shielding (Page 483)

Touati, Ahmed (Université de Montréal & Mila)

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

Tran, Cuong (Syracuse University)

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

Tran-Thanh, Long (University of Warwick)

Extended Abstract ~ How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design (Page 1464)

Troquard, Nicolas (KRDB - Free University of Bozen-Bolzano)

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

Troullinos, Dimitrios (Technical University of Crete)

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

Tsang, Alan (Carleton University)

Extended Abstract ~ Learning Cooperative Solution Concepts from Voting Behavior: A Case Study on the Israeli Knesset (Page 1572)

Tumer, Kagan (Oregon State University)

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

Turrini, Paolo (University of Warwick)

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

Main Track ~ Predicting Voting Outcomes in Presence of Communities (Page 151)

Tylkin, Paul (Harvard University)

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

Umut Ileri, Can (TU Delft)

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

Urieli, Daniel (General Motors R&D Labs)

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

Vaidhiyan, Nidhin (Indian Institute of Science, Bengaluru)

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

Vakili, Sattar (MediaTek Research)

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

Vale, Zita A. (Polytechnic Institute of Porto)

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

van de Meent, Jan-Willem (Northeastern University)

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

van den Akker, Marjan (Utrecht University)

Demonstration Track ~ TORS: A Train Unit Shunting and Servicing Simulator (Page 1785)

van der Linden, Jacobus G.M. (Delft University of Technology)

Demonstration Track ~ TORS: A Train Unit Shunting and Servicing Simulator (Page 1785)

van der Meer, Michiel (Leiden University)

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

Demonstration Track ~ A Collaborative Platform for Identifying Context-Specific Values (Page 1773)

van Hasselt, Hado (DeepMind)

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

Van Havermaet, Stef (Ghent University - imec)

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

Varakantham, Pradeep (Singapore Management University)

Main Track ~ Adaptive Operating Hours for Improved Performance of Taxi Fleets (Page 728)

Varakantham, Pradeep (Google Research)

Extended Abstract ~ Learning Index Policies for Restless Bandits with Application to Maternal Healthcare (Page 1467)

Vardi, Moshe Y. (Rice University)

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

Vasan, Arunchandar (TCS Research)

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

Venkatramanan, Srini (University of Virginia)

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

Ventre, Carmine (King's College London)

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

Venugopal, Aravind (Indian Institute of Technology, Madras)

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

Verma, Paritosh (Indian Institute of Science)

Main Track ~ Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations (Page 169)

Verma, Richa (TCS Research)

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

Verma, Shresth (ABV-Indian Institute of Information Technology and Management Gwalior)

Extended Abstract ~ Towards Sample Efficient Learners in Population based Referential Games through Action Advising (Page 1689)

Verstraeten, Timothy (Vrije Universiteit Brussel)

Main Track ~ Cooperative Prioritized Sweeping (Page 160)

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

Vesic, Srdjan (CNRS, University Artois, UMR 8188, CRIL)

Main Track ~ On a Notion of Monotonic Support for Bipolar Argumentation Frameworks (Page 546)

Viappiani, Paolo (CNRS, LIP6 & Sorbonne Université)

Main Track ~ Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation (Page 1326)

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

Vinh Doan, Xuan (University of Warwick)

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

Viswanathan, Vignesh (University of Massachusetts, Amherst)

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

Doctoral Consortium ~ Computing using Samples: Theoretical Guarantees with the Direct Learning Approach (Page 1842)

Voinea, Eduard (Imperial College London)

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

Vorobeychik, Yevgeniy (Washington University in St. Louis)

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

Vulgarakis Feljan, Aneta (Ericsson Research)

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

Wada, Ryoji (Kyushu University)

Main Track ~ Mechanism Design for Housing Markets over Social Networks (Page 692)

Wang, Chenhao (University of Nebraska-Lincoln)

Main Track ~ Fairness and Efficiency in Facility Location Problems with Continuous Demands (Page 1371)

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

Wang, Dian (Northeastern University)

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

Wang, Guanhua (University of Adelaide)

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

Wang, Haibin (Peking University)

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

Wang, Hang (Arizona State University)

Extended Abstract ~ Distributed Q-Learning with State Tracking for Multi-agent Networked Control (Page 1692)

Wang, Jun (University College London)

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

Wang, Jun (University College London & Huawei R&D U.K.)

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

Wang, Lijing (University of Virginia)

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

Wang, Lin (Shanghai Jiao Tong University)

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

Wang, Qian (Peking University)

Extended Abstract ~ The Tight Bound for Pure Price of Anarchy in an Extended Miner's Dilemma Game (Page 1695)

Wang, Rui (The Institute of Software, Chinese Academy of Sciences)

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

Wang, Rundong (Nanyang Technological University)

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

Wang, Xiangfeng (East China Normal University & SRIAS)

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

Wang, Xiaofan (Shanghai University)

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

Wang, Xintong (University of Michigan)

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

Waniek, Marcin (New York University Abu Dhabi & University of Warsaw)

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

Ward, Jonathan (Fetch.ai)

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

Ware, Stephen G. (University of Kentucky)

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

Watanabe, Shuhei (University of Freiburg)

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

Wei, Xinran (Beijing University of Posts and Telecommunications)

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

Weidinger, Laura (DeepMind)

Extended Abstract ~ Modelling Cooperation in Network Games with Spatio-Temporal Complexity (Page 1455)

Weishaupt, Robin (Heinrich-Heine-Universität Düsseldorf)

Main Track ~ Complexity of Sequential Rules in Judgment Aggregation (Page 187)

Wellman, Michael P. (University of Michigan)

Extended Abstract ~ A Strategic Analysis of Portfolio Compression (Page 1599)

Wen, Ying (Shanghai Jiao Tong University)

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

Whiteson, Shimon (University of Oxford)

Extended Abstract ~ Deep Interactive Bayesian Reinforcement Learning via Meta-Learning (Page 1712)

JAAMAS Track ~ Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework (Page 1735)

Wijk, Hjalmar (University of Oxford)

Extended Abstract ~ Shielding Atari Games with Bounded Prescience (Page 1507)

Wilson, Nic (University College Cork)

Main Track ~ Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation (Page 1326)

Winikoff, Michael (Victoria University of Wellington)

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

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

Woźnica, Jan (University of Warsaw)

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

Wong, Lawson L.S. (Northeastern University)

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

Wooldridge, Michael (University of Oxford)

Main Track ~ Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice (Page 574)

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

Main Track ~ Multi-Agent Reinforcement Learning with Temporal Logic Specifications (Page 583)

Wu, Annie S. (University of Central Florida)

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

Wu, Bo (The University of Texas at Austin)

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

Wu, Bo (The Institute of Software, Chinese Academy of Sciences)

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

Wu, Shiqing (University of Tasmania)

Extended Abstract ~ Learning Policies for Effective Incentive Allocation in Unknown Social Networks (Page 1701)

Xia, Lirong (Rensselaer Polytechnic Institute)

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

Xia, Xiaofang (Xidian University)

Main Track ~ Drone Formation Control via Belief-Correlated Imitation Learning (Page 1407)

Xiang, Yang (University of Guelph)

JAAMAS Track ~ Constructing Junction Tree Agent Organization with Privacy (Page 1746)

Xiao, Yuanming (Washington University in St. Louis)

Extended Abstract ~ Branch-and-Bound Heuristics for Incomplete DCOPs (Page 1677)

Xiao, Yuchen (Northeastern University)

Main Track ~ Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning (Page 844)

Xu, Hang (Nanyang Technological University)

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

Xu, Lei (University of Texas Rio Grande Valley)

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

Xu, Minkai (Shanghai Jiao Tong University)

Main Track ~ Energy-Based Imitation Learning (Page 809)

Xu, Yang (University of Electronic Science and Technology of China)

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

Xu, Zhe (Arizona State University)

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

Yadav, Amulya (Penn State University)

Main Track ~ Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic (Page 790)

Yamada, Seiji (National Institute of Informatics, NII, Graduate University for Advanced Studies & SOKENDAI)

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

Yamashina, Ryota (RICOH COMPANY, LTD.)

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

Yan, Xiang (Shanghai Jiao Tong University)

Extended Abstract ~ Optimal Crowdfunding Design (Page 1704)

Yang, Bo (Xidian University & Chinese Academy of Sciences)

Main Track ~ Drone Formation Control via Belief-Correlated Imitation Learning (Page 1407)

Yang, Jun (Tsinghua University)

Main Track ~ Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning (Page 853)

Yang, Xiaoya (The Institute of Software, Chinese Academy of Sciences)

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

Yang, Yaodong (University College London & Huawei R&D U.K.)

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

Yang, Yiqin (Tsinghua University)

Main Track ~ Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning (Page 853)

Yang, Yue (The University of Melbourne)

Main Track ~ Deceptive Reinforcement Learning for Privacy-Preserving Planning (Page 818)

Yao, Yuan (Zhejiang University of Technology)

Main Track ~ Intention Progression using Quantitative Summary Information (Page 1416)

Yao, Zhangrui (Xiamen University)

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

Yazdanpanah, Vahid (University of Southampton)

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

Yedidsion, Harel (University of Texas at Austin)

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

Yeoh, William (Washington University in St. Louis)

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

Extended Abstract ~ Branch-and-Bound Heuristics for Incomplete DCOPs (Page 1677)

Yin, Chenzhong (University of Southern California)

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

Yokoo, Makoto (Kyushu University)

Main Track ~ Mechanism Design for Housing Markets over Social Networks (Page 692)

Yongsatianchot, Nutchanon (Northeastern University)

Main Track ~ A Computational Model of Coping for Simulating Human Behavior in High-Stress Situations (Page 1425)

Yorke-Smith, Neil (Delft University of Technology)

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

Youssef, Youssef Mahmoud (Hochschule Bonn-Rhein-Sieg)

Doctoral Consortium ~ Inducing Rules about Distributed Robotic Systems for Fault Detection & Diagnosis (Page 1845)

Yu, Chenkai (Tsinghua University)

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

Yu, Fang-Yi (Harvard University)

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

Yu, Sixie (Washington University in St. Louis)

Doctoral Consortium ~ Design and Analysis of Networks under Strategic Behavior (Page 1848)

Yuan, Jing (University of Texas at Dallas)

Main Track ~ Adaptive Cascade Submodular Maximization (Page 1299)

Yun, Jie (University of Tasmania)

Demonstration Track ~ An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity (Page 1758)

Zehavi, Meirav (Ben-Gurion University of the Negev)

Main Track ~ Multivariate Analysis of Scheduling Fair Competitions (Page 555)

Zeng, Yifeng (Northumbria University)

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

Zeynalvand, Leonit (Nanyang Technological University)

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

Zha, Hongyuan (RIAS & The Chinese University of Hong Kong)

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

Zhang, Haifeng (Institute of Automation, Chinese Academy of Sciences)

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

Zhang, Jia (Microsoft Research)

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

Zhang, Jie (Nanyang Technological University)

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

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

Extended Abstract ~ Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning (Page 1548)

Zhang, Junshan (Arizona State University)

Extended Abstract ~ Distributed Q-Learning with State Tracking for Multi-agent Networked Control (Page 1692)

Zhang, Junyao (University of Southern California)

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

Zhang, Lan (Auckland University of Technology)

Demonstration Track ~ Graph-based Self-Adaptive Conversational Agent (Page 1791)

Zhang, Mengqi (University of Chinese Academy of Sciences & AMSS, Chinese Academy of Sciences)

Main Track ~ Fairness and Efficiency in Facility Location Problems with Continuous Demands (Page 1371)

Doctoral Consortium ~ Mechanism Design in Facility Location Games (Page 1850)

Zhang, Mingyue (Peking University)

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

Zhang, Minjie (University of Wollongong)

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

Zhang, Ruohan (University of Texas at Austin)

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

Zhang, Tianwei (Nanyang Technological University)

Main Track ~ Temporal Watermarks for Deep Reinforcement Learning Models (Page 314)

Zhang, Timothy (University of California, Davis)

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

Zhang, Weinan (Shanghai Jiao Tong University)

Main Track ~ Energy-Based Imitation Learning (Page 809)

Zhao, Dengji (ShanghaiTech University)

Blue Sky Ideas Track ~ Mechanism Design Powered by Social Interactions (Page 63)

Zhao, Qianchuan (Tsinghua University)

Main Track ~ Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning (Page 853)

Zhou, Junxin (Shenzhen University)

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

Zhou, Kai (Hong Kong Polytechnic University)

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

Zhou, Xinyu (University of Maryland)

Extended Abstract ~ RPPLNS: Pay-per-last-N-shares with a Randomised Twist (Page 1569)

Zhou, Xuanchen (University of California, Davis)

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

Zhou, Zhi-Hua (Nanjing University)

Main Track ~ Imitation Learning from Pixel-Level Demonstrations by HashReward (Page 279)

Zick, Yair (University of Massachusetts, Amherst)

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

Extended Abstract ~ Learning Cooperative Solution Concepts from Voting Behavior: A Case Study on the Israeli Knesset (Page 1572)

Zilberstein, Shlomo (University of Massachusetts, Amherst)

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

Zintgraf, Luisa (University of Oxford & Microsoft Research)

Extended Abstract ~ Deep Interactive Bayesian Reinforcement Learning via Meta-Learning (Page 1712)

Zivan, Roie (Ben-Gurion University of the Negev)

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

Extended Abstract ~ Branch-and-Bound Heuristics for Incomplete DCOPs (Page 1677)

Extended Abstract ~ Partially Cooperative Multi-Agent Periodic Indivisible Resource Allocation (Page 1498)

Źychowski, Adam (Warsaw University of Technology)

Main Track ~ Evolution of Strategies in Sequential Security Games (Page 1434)