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Learning to Share in Multi-Agent Reinforcement Learning

16 December 2021

Yaowei Wang

Papers citing "Learning to Share in Multi-Agent Reinforcement Learning"

23 / 23 papers shown

Title
Quantifying the Self-Interest Level of Markov Social Dilemmas Richard Willis Yali Du Joel Z Leibo Michael Luck 122 0 0 27 Jan 2025
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong Yizhe Huang Song-Chun Zhu Siyuan Qi Xue Feng 86 2 0 10 Oct 2024
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 142 26 0 01 Oct 2021
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 120 457 0 03 Aug 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 84 70 0 11 Jun 2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning Yaodong Yang Jianye Hao B. Liao Kun Shao Guangyong Chen Wulong Liu Hongyao Tang OffRL 77 187 0 10 Feb 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 198 365 0 16 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 85 180 0 27 Sep 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 71 809 0 14 May 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario Huichu Zhang Siyuan Feng Chang-rui Liu Yaoyao Ding Yichen Zhu Zihan Zhou Weinan Zhang Yong Yu Haiming Jin Z. Li AI4TS AI4CE 47 286 0 13 May 2019
Diagnosing Reinforcement Learning for Traffic Signal Control Guanjie Zheng Xinshi Zang Nan Xu Hua Wei Zhengyao Yu Vikash V. Gayah Kai Xu Z. Li 74 93 0 12 May 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control Hua Wei Nan Xu Huichu Zhang Guanjie Zheng Xinshi Zang Chacha Chen Weinan Zhang Yanmin Zhu Kai Xu Z. Li 68 363 0 11 May 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim Sang-chul Moon D. Hostallero Wan Ju Kang Taeyoung Lee Kyunghwan Son Yung Yi 74 208 0 05 Feb 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning Chao Qu Shie Mannor Huan Xu Yuan Qi Le Song Junwu Xiong 84 44 0 27 Jan 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 74 755 0 05 Oct 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 208 4,375 0 24 Jun 2018
QMIX: 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 169 1,677 0 30 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 110 591 0 23 Feb 2018
Consequentialist conditional cooperation in social dilemmas with imperfect information A. Peysakhovich Adam Lerer 77 65 0 19 Oct 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 164 4,520 0 07 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 841 11,961 0 09 Mar 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 332 13,295 0 09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 121 1,685 0 23 Jul 2015