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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Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation Yue Guan Qifan Zhang Panagiotis Tsiotras 4 7 0 01 Sep 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 25 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 66 101 0 24 Jul 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 22 2 0 22 Jun 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning Oscar de Lima Hansal Shah Ting-Sheng Chu Brian Fogelson 16 11 0 18 Jun 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations Yan Zhang Michael M. Zavlanos OffRL 22 22 0 18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 19 345 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 21 219 0 14 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 21 38 0 11 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 18 34 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 21 63 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 15 7 0 07 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 21 32 0 31 May 2020
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning Longteng Guo Jing Liu Xinxin Zhu Xingjian He Jie Jiang Hanqing Lu BDL 19 56 0 10 May 2020
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition Ryuichi Takanobu Runze Liang Minlie Huang LLMAG 19 54 0 08 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 18 26 0 01 Apr 2020
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation Guohui Ding Joewie J. Koh Kelly Merckaert B. Vanderborght M. Nicotra Christoffer Heckman A. Roncone Lijun Chen OffRL 21 20 0 21 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 47 767 0 19 Mar 2020
Decentralized MCTS via Learned Teammate Models A. Czechowski F. Oliehoek 165 19 0 19 Mar 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 23 52 0 10 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 25 188 0 23 Dec 2019
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao Wulong Liu Jianye Hao Jun-Jie Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao OffRL 22 74 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,178 0 24 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 18 2 0 29 Oct 2019
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination Dongge Han Wendelin Bohmer Michael Wooldridge A. Rogers 17 17 0 21 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 21 28 0 19 Oct 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 14 24 0 16 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 133 355 0 16 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 16 137 0 12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 17 133 0 11 Oct 2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J. Ackermann Pau Cebrian Antonio Espinosa Masashi Sugiyama OffRL 9 118 0 03 Oct 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 20 89 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 16 174 0 27 Sep 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 11 114 0 27 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 17 28 0 19 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 96 91 0 08 Sep 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 13 0 0 16 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 43 408 0 11 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning Qing Wang Jiechao Xiong Lei Han Meng Fang Xinghai Sun Zhuobin Zheng Peng Sun Zhengyou Zhang 24 4 0 20 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay R. Kumar 10 93 0 08 Jul 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 17 33 0 17 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 22 30 0 17 May 2019
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration Rohan R. Paleja Matthew C. Gombolay 11 7 0 14 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations Daniel Angelov Yordan V. Hristov S. Ramamoorthy CML 23 19 0 04 Mar 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 12 55 0 18 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip H. S. Torr Jakob N. Foerster Shimon Whiteson 21 930 0 11 Feb 2019