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A survey of research on several problems in the RoboCup3D simulation environment Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-26 Zhongye Gao, Mengjun Yi, Ying Jin, Hanwen Zhang, Yun Hao, Ming Yin, Ziwen Cai, Furao Shen
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Modeling and reinforcement learning in partially observable many-agent systems Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-26
Abstract There is a prevalence of multiagent reinforcement learning (MARL) methods that engage in centralized training. These methods rely on all the agents sharing various types of information, such as their actions or gradients, with a centralized trainer or each other during the learning. Subsequently, the methods produce agent policies whose prescriptions and performance are contingent on other
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Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-26
Abstract Motion planning of autonomous agents in partially known environments with incomplete information is a challenging problem, particularly for complex tasks. This paper proposes a model-free reinforcement learning approach to address this problem. We formulate motion planning as a probabilistic-labeled partially observable Markov decision process (PL-POMDP) problem and use linear temporal logic
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Correction: A survey of multi-agent deep reinforcement learning with communication Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-16 Changxi Zhu, Mehdi Dastani, Shihan Wang
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Equilibria in schelling games: computational hardness and robustness Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-13 Luca Kreisel, Niclas Boehmer, Vincent Froese, Rolf Niedermeier
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Decentralized multi-agent path finding framework and strategies based on automated negotiation Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-13 M. Onur Keskin, Furkan Cantürk, Cihan Eran, Reyhan Aydoğan
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Differentially private multi-agent constraint optimization Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-03-02 Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, Sujit Gujar
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Contest partitioning in binary contests Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-02-27 Priel Levy, Yonatan Aumann, David Sarne
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Landmark-based distributed topological mapping and navigation in GPS-denied urban environments using teams of low-cost robots Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-02-19 Mohammad Saleh Teymouri, Subhrajit Bhattacharya
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Towards interactive explanation-based nutrition virtual coaching systems Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-01-20 Berk Buzcu, Melissa Tessa, Igor Tchappi, Amro Najjar, Joris Hulstijn, Davide Calvaresi, Reyhan Aydoğan
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A survey of multi-agent deep reinforcement learning with communication Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2024-01-06 Changxi Zhu, Mehdi Dastani, Shihan Wang
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IOB: integrating optimization transfer and behavior transfer for multi-policy reuse Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-12-09 Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
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Diffusion auction design with transaction costs Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-12-06 Bin Li, Dong Hao, Dengji Zhao
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Uniformly constrained reinforcement learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-12-06 Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
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RGS $$^\oplus $$ : RDF graph synchronization for collaborative robotics Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-11-24 Cyrille Berger, Patrick Doherty, Piotr Rudol, Mariusz Wzorek
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A normative approach for resilient multiagent systems Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-11-13 Geeta Mahala, Özgür Kafalı, Hoa Dam, Aditya Ghose, Munindar P. Singh
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ASN: action semantics network for multiagent reinforcement learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-11-10 Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
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A family of strategyproof mechanisms for activity scheduling Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-10-20 Xinping Xu, Jingwen Zhang, Minming Li, Lingjie Duan, Lihua Xie
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Connected coordinated motion planning with bounded stretch Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-10-17 Sándor P. Fekete, Phillip Keldenich, Ramin Kosfeld, Christian Rieck, Christian Scheffer
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Price of anarchy of traffic assignment with exponential cost functions Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-10-03 Jianglin Qiao, Dave de Jonge, Dongmo Zhang, Simeon Simoff, Carles Sierra, Bo Du
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Generating and choosing organisations for multi-agent systems Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-09-24 Cleber J. Amaral, Jomi F. Hübner, Stephen Cranefield
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Effect of asynchronous execution and imperfect communication on max-sum belief propagation Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-09-14 Roie Zivan, Ben Rachmut, Omer Perry, William Yeoh
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Fairness criteria for allocating indivisible chores: connections and efficiencies Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-31 Ankang Sun, Bo Chen, Xuan Vinh Doan
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A multi-scenario approach to continuously learn and understand norm violations Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-16 Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer
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Hardness of candidate nomination Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-16 Katarína Cechlárová, Julien Lesca, Diana Trellová, Martina Hančová, Jozef Hanč
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Combining theory of mind and abductive reasoning in agent-oriented programming Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-11 Nieves Montes, Michael Luck, Nardine Osman, Odinaldo Rodrigues, Carles Sierra
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Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-11 Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
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A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-09 Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani
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Full communication memory networks for team-level cooperation learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-07 Yutong Wang, Yizhuo Wang, Guillaume Sartoretti
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Balancing fairness and efficiency in traffic routing via interpolated traffic assignment Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-02 Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone
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Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-08-02 George Z. Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
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A performance-impact based multi-task distributed scheduling algorithm with task removal inference and deadlock avoidance Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-07-18 Jie Li, Runfeng Chen, Chang Wang, Yiting Chen, Yuchong Huang, Xiangke Wang
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Non-chaotic limit sets in multi-agent learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-07-13 Aleksander Czechowski, Georgios Piliouras
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Parameterized complexity of multiwinner determination: more effort towards fixed-parameter tractability Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-06-30 Yongjie Yang, Jianxin Wang
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Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-06-23 Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
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Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-04-28 Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
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Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-04-28 Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
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Using psychological characteristics of situations for social situation comprehension in support agents Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-04-28 Ilir Kola, Catholijn M. Jonker, M. Birna van Riemsdijk
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Actor-critic multi-objective reinforcement learning for non-linear utility functions Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-04-28 Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
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Algorithms for partially robust team formation Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-04-25 Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean-Marie Lagniez
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Fine-grained view on bribery for group identification Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-03-24 Niclas Boehmer, Robert Bredereck, Dušan Knop, Junjie Luo
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Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-03-24 Andries Smit, Herman A. Engelbrecht, Willie Brink, Arnu Pretorius
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Quantifying over information change with common knowledge Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-03-08 Thomas Ågotnes, Rustam Galimullin
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Electoral manipulation via influence: probabilistic model Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-03-08 Liangde Tao, Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi
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Accelerating deep reinforcement learning via knowledge-guided policy network Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-02-18 Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao
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Egalitarian judgment aggregation Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-02-02 Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou
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Online Markov decision processes with non-oblivious strategic adversary Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2023-01-27 Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
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Learning by reusing previous advice: a memory-based teacher–student framework Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-29 Changxi Zhu, Yi Cai, Shuyue Hu, Ho-fung Leung, Dickson K. W. Chiu
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A refined complexity analysis of fair districting over graphs Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-28 Niclas Boehmer, Tomohiro Koana, Rolf Niedermeier
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Preference-based multi-objective multi-agent path finding Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-23 Florence Ho, Shinji Nakadai
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Using soft maximin for risk averse multi-objective decision-making Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-21 Benjamin J. Smith, Robert Klassert, Roland Pihlakas
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Strategyproof facility location mechanisms on discrete trees Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-08 Alina Filimonov, Reshef Meir
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Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-05 Zorica Dodevska, Andrija Petrović, Sandro Radovanović, Boris Delibašić
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Equitability and welfare maximization for allocating indivisible items Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-12-02 Ankang Sun, Bo Chen, Xuan Vinh Doan
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Accountability in multi-agent organizations: from conceptual design to agent programming Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-11-28 Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi
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Emotion contagion in agent-based simulations of crowds: a systematic review Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-11-24 E. S. van Haeringen, C. Gerritsen, K. V. Hindriks
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Fast approximate bi-objective Pareto sets with quality bounds Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-11-11 William Bailey, Judy Goldsmith, Brent Harrison, Siyao Xu
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Towards combining commonsense reasoning and knowledge acquisition to guide deep learning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-11-01 Mohan Sridharan, Tiago Mota
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Unavoidable deadends in deterministic partially observable contingent planning Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-10-29 Lera Shtutland, Dorin Shmaryahu, Ronen I. Brafman, Guy Shani
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Emergence of norms in interactions with complex rewards Auton. Agent. Multi-Agent Syst. (IF 1.9) Pub Date : 2022-10-26 Dhaminda B. Abeywickrama, Nathan Griffiths, Zhou Xu, Alex Mouzakitis