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Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

12 June 2020

Papers citing "Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning"

50 / 91 papers shown

Title
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork Caroline Wang Arrasy Rahman Jiaxun Cui Yoonchang Sung Peter Stone 58 0 0 29 May 2025
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour Bálint Gyevnár Christopher G. Lucas Stefano V. Albrecht Shay B. Cohen LRM 141 0 0 23 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 119 0 0 12 May 2025
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes Shalin Jain Jiazhen Liu Siva Kailas Harish Ravichandar 164 0 0 10 May 2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Andreas Kontogiannis Konstantinos Papathanasiou Yi Shen Giorgos Stamou Michael M. Zavlanos G. Vouros 66 0 0 08 May 2025
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm Chak Lam Shek Amrit Singh Bedi Anjon Basak Ellen Novoseller Nick Waytowich Priya Narayanan Dinesh Manocha Pratap Tokekar 80 0 0 24 Mar 2025
Seldonian Reinforcement Learning for Ad Hoc Teamwork Edoardo Zorzi A. Castellini Leonidas Bakopoulos Georgios Chalkiadakis Alessandro Farinelli OffRL 104 0 0 05 Mar 2025
Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains Nikhilesh Prabhakar Ranveer Singh Harsha Kokel Sriraam Natarajan Prasad Tadepalli 110 0 0 26 Feb 2025
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment Kartik Nagpal Dayi Dong Jean-Baptiste Bouvier Negar Mehr LLMAG 78 1 0 24 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu Xiaojun Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 143 4 0 18 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 266 0 0 08 Feb 2025
Selective Experience Sharing in Reinforcement Learning Enhances Interference Management Madan Dahal Mojtaba Vaezi 83 0 0 28 Jan 2025
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Hung Du Srikanth Thudumu Hy Nguyen Rajesh Vasa K. Mouzakis 121 2 0 28 Jan 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation Lucas C. D. Bezerra Ataíde M. G. dos Santos Shinkyu Park 98 0 0 29 Dec 2024
Multi-Agent Reinforcement Learning with Selective State-Space Models Jemma Daniel Ruan de Kock Louay Ben Nessir Sasha Abramowitz Omayma Mahjoub Wiem Khlifi Claude Formanek Arnu Pretorius Mamba 112 1 0 25 Oct 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning Claude Formanek Louise Beyers C. Tilbury Jonathan P. Shock Arnu Pretorius OffRL 83 2 0 18 Sep 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 123 6 0 11 Aug 2024
Environment Complexity and Nash Equilibria in a Sequential Social Dilemma Mustafa Yasir Andrew Howes V. Mavroudis Chris Hicks 113 0 0 04 Aug 2024
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding Alexey Skrynnik Anton Andreychuk Anatolii Borzilov Alexander Chernyavskiy Konstantin Yakovlev Aleksandr I. Panov 87 3 0 20 Jul 2024
Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning Daniel May Matthew E. Taylor Petr Musílek 39 1 0 19 Apr 2024
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems Ashish Rana Michael Oesterle Jannik Brinkmann 37 0 0 01 Apr 2024
Social Environment Design Edwin Zhang Sadie Zhao Tonghan Wang Safwan Hossain Henry Gasztowtt Stephan Zheng David C. Parkes Milind Tambe Yiling Chen 83 5 0 21 Feb 2024
Revisiting Experience Replayable Conditions Taisuke Kobayashi 102 3 0 15 Feb 2024
Multi-Sender Persuasion: A Computational Perspective Safwan Hossain Tonghan Wang Tao Lin Yiling Chen David C. Parkes Haifeng Xu 92 12 0 07 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 105 12 0 22 Jan 2024
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering Robert Muller Hasan Turalic Thomy Phan Michael Kolle Jonas Nusslein Claudia Linnhoff-Popien OffRL 91 1 0 07 Jan 2024
Contrastive learning-based agent modeling for deep reinforcement learning Wenhao Ma Yu-Cheng Chang Jie Yang Yu-Kai Wang Chin-Teng Lin OffRL 62 0 0 30 Dec 2023
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem Yuchen Shi Congying Han Tiande Guo 49 0 0 24 Dec 2023
Sparse Mean Field Load Balancing in Large Localized Queueing Systems Anam Tahir Kai Cui Heinz Koeppl 85 0 0 20 Dec 2023
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning Yanwen Ba Xuan Liu Xinning Chen Hao Wang Yang Xu Kenli Li Shigeng Zhang 53 2 0 19 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 80 10 0 15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 107 1 0 13 Dec 2023
Efficiently Quantifying Individual Agent Importance in Cooperative MARL Omayma Mahjoub Ruan de Kock Siddarth S. Singh Wiem Khlifi Abidine Vall Kale-ab Tessera Arnu Pretorius FAtt 78 2 0 13 Dec 2023
A Review of Cooperation in Multi-agent Learning Yali Du Joel Z Leibo Usman Islam Richard Willis P. Sunehag 107 34 0 08 Dec 2023
JaxMARL: Multi-Agent RL Environments in JAX Alex Rutherford Benjamin Ellis Matteo Gallici Jonathan Cook Andrei Lupu ... Bruno Lacerda Nick Hawes Tim Rocktaschel Chris Xiaoxuan Lu Jakob N. Foerster 114 20 0 16 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 77 7 0 01 Nov 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility Lang Feng Dong Xing Junru Zhang Gang Pan 38 1 0 08 Oct 2023
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents Arrasy Rahman Jiaxun Cui Peter Stone 74 13 0 18 Aug 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 93 3 0 16 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning Y. Lo B. Sengupta Jakob N. Foerster Michael Noukhovitch 70 5 0 03 Jul 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL Pascal Leroy P. G. Morato J. Pisane A. Kolios D. Ernst OffRL 96 9 0 20 Jun 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries Kayla Boggess Sarit Kraus Lu Feng LRM 97 13 0 17 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 89 9 0 10 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 53 1 0 09 May 2023
$N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning$ N $\text{A}^\text{2}$ Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu Yuanyang Zhu Chunlin Chen 82 12 0 26 Apr 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 89 6 0 16 Mar 2023
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help Yunbo Qiu Yue Jin Lebin Yu Jian Wang Xudong Zhang 41 1 0 18 Feb 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 84 1 0 10 Feb 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning Lukas Schafer Oliver Slumbers Stephen Marcus McAleer Yali Du Stefano V. Albrecht D. Mguni 172 7 0 07 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 57 17 0 06 Feb 2023