Title
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning Wei-Chen Liao Ti-Rong Wu I-Chen Wu 22 0 0 19 May 2025
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian Sun Gang Wang AI4CE 63 1 0 08 May 2025
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Zijian An Lifeng Zhou 31 0 0 08 May 2025
Nuclear Microreactor Control with Deep Reinforcement Learning Leo Tunkle Kamal Abdulraheem Linyu Lin M. Radaideh 36 0 0 31 Mar 2025
An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning Julien Soulé Jean-Paul Jamont Michel Occello Louis-Marie Traonouez Paul Théron 45 0 0 30 Mar 2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Giuseppe Paolo Abdelhakim Benechehab Hamza Cherkaoui Albert Thomas Balázs Kégl 48 0 0 21 Feb 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games Shiqi Lei Kanghon Lee Linjing Li Jinkyoo Park OffRL 42 0 0 17 Feb 2025
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 64 10 0 26 Oct 2024
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games Pranav Rajbhandari Prithviraj Dasgupta D. Sofge 21 0 0 17 Oct 2024
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites Yakov Miron Dan Navon Yuval Goldfracht Dotan Di Castro Itzik Klein 35 0 0 16 Sep 2024
Massively Multiagent Minigames for Training Generalist Agents Kyoung Whan Choe Ryan Sullivan Joseph Suárez AI4CE 34 0 0 07 Jun 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 17 3 0 29 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning Xinran Li Zifan Liu Shibo Chen Jun Zhang 37 3 0 28 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning Chang Huang Junqiao Zhao Shatong Zhu Hongtu Zhou Chen Ye T. Feng Changjun Jiang 30 0 0 13 May 2024
Algorithmic collusion in a two-sided market: A rideshare example Pravesh Koirala Forrest Laine 30 2 0 05 May 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 50 1 0 26 Mar 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 43 3 0 30 Jan 2024
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 26 1 0 18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 47 15 0 03 Dec 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 33 0 0 17 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 29 5 0 01 Nov 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 38 1 0 27 Jul 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 40 1 0 11 Jul 2023
CoRL: Environment Creation and Management Focused on System Integration J. D. Merrick Benjamin K. Heiner Cameron Long Brian Stieber Steve Fierro Vardaan Gangal Madison Blake Joshua Blackburn AI4CE 30 2 0 03 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility Malintha Fernando Ransalu Senanayake Heeyoul Choi Martin Swany 37 4 0 14 Feb 2023
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles Ivan Masmitja Mario Martin K. Katija S. Gomáriz J. Navarro 24 5 0 17 Jan 2023
Character Simulation Using Imitation Learning With Game Engine Physics Joao Rodrigues R. Nóbrega AI4CE 19 2 0 05 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 33 84 0 14 Dec 2022
Targets in Reinforcement Learning to solve Stackelberg Security Games Saptarashmi Bandyopadhyay Chenqi Zhu Philip Daniel Joshua Morrison Ethan Shay John P Dickerson 14 1 0 30 Nov 2022
Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning C. Park Jae Pyoung Kim Won Joon Yun Soohyun Park Soyi Jung Joongheon Kim 39 0 0 24 Nov 2022
Double Deep Q-Learning in Opponent Modeling Yangtianze Tao J. Doe 26 3 0 24 Nov 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 42 29 0 13 Oct 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning Junfeng Chen Fuqin Deng Yuan Gao Junjie Hu Xiyue Guo Guanqi Liang Tin Lun Lam 37 7 0 28 Sep 2022
Hearts Gym: Learning Reinforcement Learning as a Team Event Jana Ebert Danimir T. Doncevic R. Kloss Stefan Kesselheim OffRL 29 0 0 07 Sep 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 33 3 0 18 Jul 2022
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning Jordan Langham-Lopez Sebastian M. Schmon Patrick W Cannon AI4CE 22 0 0 08 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 33 10 0 21 Jun 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri Petros Koumoutsakos CLL OffRL 21 7 0 24 Mar 2022
PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar Aditi Talati Andy Shih Dorsa Sadigh 24 16 0 13 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 31 69 0 29 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 24 33 0 10 Nov 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Yifan Yang AI4CE 36 1 0 23 Oct 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning Chapman Siu Jason M. Traish R. Xu 33 2 0 19 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning Javier Yu Joseph A. Vincent Mac Schwager 48 35 0 17 Sep 2021
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers C. Ashcraft Kiran Karra 23 22 0 14 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 19 117 0 11 Jun 2021
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning Sheng Li Yutai Zhou R. Allen Mykel J. Kochenderfer 34 13 0 24 Feb 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021