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ORCID22nd AAMAS 2023: London, UK
- Noa Agmon, Bo An, Alessandro Ricci, William Yeoh:
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023. ACM 2023, ISBN 978-1-4503-9432-1
Keynote Talks
- Karl Tuyls:
Multiagent Learning: From Fundamentals to Foundation Models. 1 - Yejin Choi:
Common Sense: The Dark Matter of Language and Intelligence. 2 - Iain D. Couzin:
Geometric Principles of Individual and Collective Decision-Making. 3 - Edith Elkind:
Proportionality in Multiwinner Voting: The Power of Local Search. 4
Session 1A: Multiagent Reinforcement Learning I
- Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson:
Trust Region Bounds for Decentralized PPO Under Non-stationarity. 5-13 - Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson:
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. 14-22 - Jiechuan Jiang, Zongqing Lu:
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. 23-30 - Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. 31-39 - Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung:
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. 40-48 - Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev:
Mediated Multi-Agent Reinforcement Learning. 49-57 - Yucong Zhang, Chao Yu:
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning. 58-66 - Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu:
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. 67-76
Session 1B: Planning
- Maya Lavie, Tehila Caspi, Omer Lev, Roie Zivan:
Ask and You Shall be Served: Representing & Solving Multi-agentOptimization Problems with Service Requesters and Providers. 77-85 - Napendra Solanki, Shweta Jain, Suman Banerjee, Yayathi Pavan Kumar S:
Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem. 86-94 - Adrian Price, Ramon Fraga Pereira, Peta Masters, Mor Vered:
Domain-Independent Deceptive Planning. 95-103 - Arseni Pertzovskiy, Roie Zivan, Noa Agmon:
CAMS: Collision Avoiding Max-Sum for Mobile Sensor Teams. 104-112 - Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes, Michael J. Wooldridge:
Risk-Constrained Planning for Multi-Agent Systems with Shared Resources. 113-121 - Chongyang Shi, Shuo Han, Jie Fu:
Quantitative Planning with Action Deception in Concurrent Stochastic Games. 122-130 - Stelios Triantafyllou, Goran Radanovic:
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs. 131-139 - Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. 140-142
Session 1C: Fair Allocations
- Haris Aziz, Jeremy Lindsay, Angus Ritossa, Mashbat Suzuki:
Fair Allocation of Two Types of Chores. 143-151 - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences. 152-160 - Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Graphical House Allocation. 161-169 - Jiarui Gan, Bo Li, Xiaowei Wu:
Approximation Algorithm for Computing Budget-Feasible EF1 Allocations. 170-178 - Vignesh Viswanathan, Yair Zick:
Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations. 179-187 - Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala:
Fairness in the Assignment Problem with Uncertain Priorities. 188-196 - Haris Aziz, Bo Li, Shiji Xing, Yu Zhou:
Possible Fairness for Allocating Indivisible Resources. 197-205 - Hila Shoshan, Noam Hazon, Erel Segal-Halevi:
Efficient Nearly-Fair Division with Capacity Constraints. 206-214
Session 1D: Equilibria and Complexities of Games
- Nils Bertschinger, Martin Hoefer, Simon Krogmann, Pascal Lenzner, Steffen Schuldenzucker, Lisa Wilhelmi:
Equilibria and Convergence in Fire Sale Games. 215-223 - Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers:
Bridging the Gap Between Single and Multi Objective Games. 224-232 - Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng:
Is Nash Equilibrium Approximator Learnable? 233-241 - Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug:
Learning the Stackelberg Equilibrium in a Newsvendor Game. 242-250 - Jiehua Chen, Gergely Csáji, Sanjukta Roy, Sofia Simola:
Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity. 251-259 - Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou:
Debt Transfers in Financial Networks: Complexity and Equilibria. 260-268 - Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu:
A Study of Nash Equilibria in Multi-Objective Normal-Form Games. 269-271 - Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald:
Learning Properties in Simulation-Based Games. 272-280
Session 1E: Human-Agent Teams
- Nikolaos Kondylidis, Ilaria Tiddi, Annette ten Teije:
Establishing Shared Query Understanding in an Open Multi-Agent System. 281-289 - Julie Porteous, Alan Lindsay, Fred Charles:
Communicating Agent Intentions for Human-Agent Decision Making under Uncertainty. 290-298 - Marin Le Guillou, Laurent Prévot, Bruno Berberian:
Trusting Artificial Agents: Communication Trumps Performance. 299-306 - Kate Candon, Jesse Chen, Yoony Kim, Zoe Hsu, Nathan Tsoi, Marynel Vázquez:
Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior. 307-316 - Sagalpreet Singh, Shweta Jain, Shashi Shekhar Jha:
On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy. 317-325 - Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai:
Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. 326-334 - Sangwon Seo, Bing Han, Vaibhav V. Unhelkar:
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. 335-344 - Stefan Sarkadi, Peidong Mei, Edmond Awad:
Should My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards Deceptive AI in Selected Future-of-work. 345-354
Session 1F: Knowledge Representation and Reasoning I
- Qihui Feng, Daxin Liu, Vaishak Belle, Gerhard Lakemeyer:
A Logic of Only-Believing over Arbitrary Probability Distributions. 355-363 - Carlos Areces, Valentin Cassano, Pablo F. Castro, Raul Fervari, Andrés R. Saravia:
A Deontic Logic of Knowingly Complying. 364-372 - Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Soft Policy Guidance in POMCP. 373-381 - Jaime Arias, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk:
Strategic (Timed) Computation Tree Logic. 382-390 - Gaia Belardinelli, Thomas Bolander:
Attention! Dynamic Epistemic Logic Models of (In)attentive Agents. 391-399 - Rustam Galimullin, Fernando R. Velázquez-Quesada:
(Arbitrary) Partial Communication. 400-408 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Epistemic Abstract Argumentation Framework: Formal Foundations, Computation and Complexity. 409-417 - Vaishak Belle:
Actions, Continuous Distributions and Meta-Beliefs. 418-426
Session 2A: Multiagent Reinforcement Learning II
- Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang:
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning. 427-435 - Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. 436-438 - Shuai Han, Mehdi Dastani, Shihan Wang:
Model-based Sparse Communication in Multi-agent Reinforcement Learning. 439-447 - Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell:
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. 448-456 - Michelle Li, Michael Dennis:
The Benefits of Power Regularization in Cooperative Reinforcement Learning. 457-465 - Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei:
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. 466-475 - Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan:
Self-Motivated Multi-Agent Exploration. 476-484 - Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
Sequential Cooperative Multi-Agent Reinforcement Learning. 485-493
Session 2B: Planning + Task/Resource Allocation
- Saar Cohen, Noa Agmon:
Online Coalitional Skill Formation. 494-503 - Gauthier Picard:
Multi-Agent Consensus-based Bundle Allocation for Multi-mode Composite Tasks. 504-512 - Osnat Ackerman Viden, Yohai Trabelsi, Pan Xu, Karthik Abinav Sankararaman, Oleg Maksimov, Sarit Kraus:
Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments. 513-521 - Shaheen Fatima, Michael J. Wooldridge:
Optimal Coalition Structures for Probabilistically Monotone Partition Function Games. 522-524 - Grace Cai, Noble Harasha, Nancy A. Lynch:
A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density. 525-533 - Till Hofmann, Vaishak Belle:
Abstracting Noisy Robot Programs. 534-542 - Qian Che, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Yichuan Jiang:
Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. 543-551 - Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng:
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. 552-560
Session 2C: Fair Allocations + Public Goods Games
- Ankang Sun, Bo Chen, Xuan Vinh Doan:
Equitability and Welfare Maximization for Allocating Indivisible Items. 561-563 - Martin Hoefer, Marco Schmalhofer, Giovanna Varricchio:
Best of Both Worlds: Agents with Entitlements. 564-572 - Inbal Rozencweig, Reshef Meir, Nicholas Mattei, Ofra Amir:
Mitigating Skewed Bidding for Conference Paper Assignment. 573-581 - David Sychrovsky, Jakub Cerný, Sylvain Lichau, Martin Loebl:
Price of Anarchy in a Double-Sided Critical Distribution System. 582-590 - Evangelos Markakis, Christodoulos Santorinaios:
Improved EFX Approximation Guarantees under Ordinal-based Assumptions. 591-599 - Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Assigning Agents to Increase Network-Based Neighborhood Diversity. 600-608 - Jichen Li, Xiaotie Deng, Yukun Cheng, Yuqi Pan, Xuanzhi Xia, Zongjun Yang, Jan Xie:
Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games. 609-624 - Jacques Bara, Fernando P. Santos, Paolo Turrini:
The Role of Space, Density and Migration in Social Dilemmas. 625-633
Session 2D: Behavioral and Algorithmic Game Theory
- Daniel Chui, Jason D. Hartline, James R. Wright:
Non-strategic Econometrics (for Initial Play). 634-642 - Natalie Collina, Eshwar Ram Arunachaleswaran, Michael Kearns:
Efficient Stackelberg Strategies for Finitely Repeated Games. 643-651 - Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu:
Learning Density-Based Correlated Equilibria for Markov Games. 652-660 - Maizi Liao, Wojciech Golab, Seyed Majid Zahedi:
IRS: An Incentive-compatible Reward Scheme for Algorand. 661-669 - Bryce Wiedenbeck, Erik Brinkman:
Data Structures for Deviation Payoffs. 670-678
Session 2E: Humans and AI Agents
- Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du:
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. 679-688 - Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein:
Semi-Autonomous Systems with Contextual Competence Awareness. 689-697 - Yubin Kim, Huili Chen, Sharifa Alghowinem, Cynthia Breazeal, Hae Won Park:
Joint Engagement Classification using Video Augmentation Techniques for Multi-person HRI in the wild. 698-707 - Haochen Wu, Pedro Sequeira, David V. Pynadath:
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. 708-716 - Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman:
Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior. 717-726 - Yushan Qian, Bo Wang, Shangzhao Ma, Bin Wu, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou:
Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation. 727-736 - Weilai Xu, Fred Charles, Charlie Hargood:
Generating Stylistic and Personalized Dialogues for Virtual Agents in Narratives. 737-746 - David Obremski, Ohenewa Bediako Akuffo, Leonie Lücke, Miriam Semineth, Sarah Tomiczek, Hanna-Finja Weichert, Birgit Lugrin:
Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality. 747-755
Session 2F: Knowledge Representation and Reasoning II
- Jinzhao Li, Daniel Fink, Christopher Wood, Carla P. Gomes, Yexiang Xue:
Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces. 756-765 - Masoud Tabatabaei, Wojciech Jamroga:
Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory. 766-774 - Rodica Condurache, Catalin Dima, Youssouf Oualhadj, Nicolas Troquard:
Synthesis of Resource-Aware Controllers Against Rational Agents. 775-783 - Catalin Dima, Wojciech Jamroga:
Computationally Feasible Strategies. 784-792 - Angelo Ferrando, Vadim Malvone:
Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information. 793-801
Session 3A: Reinforcement Learning
- Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri, Harshad Khadilkar:
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. 802-809 - Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen:
FedFormer: Contextual Federation with Attention in Reinforcement Learning. 810-818 - Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. 819-828 - Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier:
Enhancing Reinforcement Learning Agents with Local Guides. 829-838 - Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar Reward is Not Enough. 839-841 - Alexandre Trudeau, Michael Bowling:
Targeted Search Control in AlphaZero for Effective Policy Improvement. 842-850 - Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza, Stephan Günnemann:
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. 851-859 - Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar, Pradeep Varakantham:
Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning. 860-868
Session 3B: Multiagent Path Finding
- Gilad Fine, Dor Atzmon, Noa Agmon:
Anonymous Multi-Agent Path Finding with Individual Deadlines. 869-877 - Junyoung Park, Changhyun Kwon, Jinkyoo Park:
Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning. 878-886 - Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno:
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. 887-895 - Isseïnie Calviac, Ocan Sankur, François Schwarzentruber:
Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding. 896-904 - Yaakov Livne, Dor Atzmon, Shawn Skyler, Eli Boyarski, Amir Shapiro, Ariel Felner:
Optimally Solving the Multiple Watchman Route Problem with Heuristic Search. 905-913 - Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara:
Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. 914-922 - Jonathan Diller, Qi Han:
Energy-aware UAV Path Planning with Adaptive Speed. 923-931 - Mikkel Abrahamsen, Tzvika Geft, Dan Halperin, Barak Ugav:
Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity. 932-940
Session 3C: Matching
- Haris Aziz, Aditya Ganguly, Evi Micha:
Best of Both Worlds Fairness under Entitlements. 941-948 - Haris Aziz:
Probabilistic Rationing with Categorized Priorities: Processing Reserves Fairly and Efficiently. 949-956 - Telikepalli Kavitha, Rohit Vaish:
Semi-Popular Matchings and Copeland Winners. 957-965 - Dusan Knop, Simon Schierreich:
Host Community Respecting Refugee Housing. 966-975 - Mathieu Mari, Michal Pawlowski, Runtian Ren, Piotr Sankowski:
Online Matching with Delays and Stochastic Arrival Times. 976-984 - Niclas Boehmer, Klaus Heeger:
Adapting Stable Matchings to Forced and Forbidden Pairs. 985-993 - Yinghui Wen, Zhongyi Zhang, Jiong Guo:
Stable Marriage in Euclidean Space. 994-1002