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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017

Pieter Abbeel

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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Title
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution Yunru Bai Chen Gong Bin Zhang Guoliang Fan Xinwen Hou Yu Liu 66 7 0 09 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 48 5 0 07 Dec 2021
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 67 16 0 07 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking Zhanhong Jiang Xian Yeow Lee Sin Yong Tan Kai Liang Tan Aditya Balu Young M. Lee Chinmay Hegde Soumik Sarkar 85 7 0 06 Dec 2021
MDPFuzz: Testing Models Solving Markov Decision Processes Qi Pang Yuanyuan Yuan Shuai Wang 100 30 0 06 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 131 64 0 02 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 74 5 0 02 Dec 2021
The Power of Communication in a Distributed Multi-Agent System P. D. Siedler 66 3 0 30 Nov 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 76 2 0 30 Nov 2021
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning Ralvi Isufaj Marsel Omeri M. A. Piera 39 18 0 29 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 42 3 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 435 0 24 Nov 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS Christian Schroeder de Witt Yongchao Huang Philip Torr Martin Strohmeier AAML 81 3 0 23 Nov 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning Michał Zawalski Bla.zej Osiñski Henryk Michalewski Piotr Milo's OffRL 79 2 0 22 Nov 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification L. Pan Longbo Huang Tengyu Ma Huazhe Xu OffRL OnRL 125 55 0 22 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhongbo Fan 52 67 0 21 Nov 2021
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods Yang Hu Zhu Zhu Sirui Song Xue Liu Yang Yu 29 0 0 20 Nov 2021
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory T. Nguyen D. Phan Cleotilde Gonzalez 37 16 0 19 Nov 2021
Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning Yuzi Yan Xiaoxiang Li Xinyou Qiu Jiantao Qiu Jian Wang Yu Wang Yuan-Chung Shen 42 17 0 14 Nov 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation Martin Figura Yixuan Lin Ji Liu V. Gupta AAML 45 3 0 12 Nov 2021
Collaboration Promotes Group Resilience in Multi-Agent AI Sarah Keren M. Gerstgrasser Ofir Abu J. Rosenschein 42 0 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 73 35 0 10 Nov 2021
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems David J. Biagioni Xinming Zhang Dylan Wald Deepthi Vaidhynathan Rohit Chintala J. King Ahmed S. Zamzam 91 34 0 10 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 76 4 0 10 Nov 2021
Reinforcement Learning for Mixed Autonomy Intersections Zhongxia Yan Cathy Wu 107 30 0 08 Nov 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen Yuanxin Zhang Yuanfan Xu Huimin Ma Huazhong Yang Jiaming Song Yu Wang Yi Wu VLM DRL 82 32 0 08 Nov 2021
Coordinated Proximal Policy Optimization Zifan Wu Chao Yu Deheng Ye Junge Zhang Haiyin Piao H. Zhuo 85 46 0 07 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 85 5 0 05 Nov 2021
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments Ken Ming Lee Sriram Ganapathi Subramanian Mark Crowley 62 12 0 01 Nov 2021
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method Kuo Li Qing-Shan Jia OffRL 18 2 0 31 Oct 2021
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System Simon Vanneste Gauthier de Borrekens Stig Bosmans Astrid Vanneste Kevin Mets Siegfried Mercelis Steven Latré P. Hellinckx 46 1 0 29 Oct 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning Astrid Vanneste Wesley Van Wijnsberghe Simon Vanneste Kevin Mets Siegfried Mercelis Steven Latré P. Hellinckx 30 4 0 29 Oct 2021
Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin Minyoung Huh C. Stauffer Ser-Nam Lim Phillip Isola AI4CE 55 56 0 28 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 66 40 0 28 Oct 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 96 132 0 27 Oct 2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 54 9 0 27 Oct 2021
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks Jianhong Wang Wangkun Xu Yunjie Gu Wenbin Song T. Green 86 128 0 27 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 94 63 0 26 Oct 2021
Playing Coopetitive Polymatrix Games with Small Manipulation Cost Shivakumar Mahesh Nick Bishop Le Cong Dinh Long Tran-Thanh 38 0 0 26 Oct 2021
Multi-Agent Advisor Q-Learning Sriram Ganapathi Subramanian Matthew E. Taylor Kate Larson Mark Crowley OffRL 114 10 0 26 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 63 4 0 22 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 90 49 0 20 Oct 2021
State-based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma Wu-Jun Li 43 8 0 19 Oct 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning Yuchen Xiao Xueguang Lyu Chris Amato 62 9 0 16 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 116 70 0 15 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 184 171 0 15 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning Siyang Wu Tonghan Wang Chenghao Li Yang Hu Chongjie Zhang OffRL 55 1 0 15 Oct 2021
The Neural MMO Platform for Massively Multiagent Research Joseph Suárez Yilun Du Clare Zhu Igor Mordatch Phillip Isola AI4CE 90 25 0 14 Oct 2021
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication Justin Lidard Udari Madhushani Naomi Ehrich Leonard OffRL 73 6 0 14 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 77 25 0 14 Oct 2021