Counterfactual Multi-Agent Policy Gradients

24 May 2017

Jakob N. Foerster

Gregory Farquhar

Triantafyllos Afouras

Nantas Nardelli

Shimon Whiteson

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Papers citing "Counterfactual Multi-Agent Policy Gradients"

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Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris Thomas D. Barrett Arnu Pretorius 24 4 0 14 Jun 2022
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Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen J. Wang Yaodong Yang 26 178 0 30 May 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani Zhicheng Zhang Nicholay Topin Z. Shi Charles A. Kamhoua Evangelos E. Papalexakis Fei Fang OffRL 78 13 0 25 May 2022
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Xiaohan Hou Jia-jia Zhang X. Wang Jing Xiao 11 0 0 11 May 2022
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UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios Jiajun Chai Weifan Li Yuanheng Zhu Dongbin Zhao Zhe Ma Kewu Sun Jishiyu Ding 25 43 0 28 Mar 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri P. Koumoutsakos CLL OffRL 10 7 0 24 Mar 2022
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An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 28 33 0 15 Mar 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications Tim Tsz-Kit Lau B. Sengupta 22 4 0 14 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 28 48 0 08 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 20 8 0 06 Mar 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization Jian Zhao Yue Zhang Xu Hu Weixun Wang Wen-gang Zhou Jianye Hao Jiangcheng Zhu Houqiang Li 16 4 0 09 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman T. Krajník Barry Lennox F. Arvin 25 34 0 02 Feb 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 63 55 0 02 Feb 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning Jingqing Ruan Yali Du Xuantang Xiong Dengpeng Xing Xiyun Li Linghui Meng Haifeng Zhang Jun Wang Bo Xu 38 29 0 17 Jan 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 26 11 0 05 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 11 5 0 27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge Meng Yao Qiyue Yin Jun Yang Tongtong Yu S. Shen Junge Zhang Bin Liang Kaiqi Huang 19 5 0 07 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 29 18 0 05 Dec 2021
Learning Emergent Random Access Protocol for LEO Satellite Networks Ju-Hyung Lee Hyowoon Seo Jihong Park M. Bennis Young-Chai Ko 19 17 0 03 Dec 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 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 14 33 0 10 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 36 58 0 26 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 24 49 0 20 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 19 68 0 15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain A. Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning Paul Maria Scheikl B. Gyenes Tornike Davitashvili Rayan Younis A. Schulze Beat P. Müller-Stich Gerhard Neumann M. Wagner F. Mathis-Ullrich 17 12 0 10 Oct 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 93 49 0 06 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 38 35 0 05 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 46 10 0 30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 52 54 0 28 Sep 2021