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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

30 March 2018

Tabish Rashid

Mikayel Samvelyan

Christian Schroeder de Witt

Papers citing "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

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Title
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 46 5 0 07 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 101 180 0 27 Sep 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 58 16 0 25 Sep 2019
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization Zhi Zhang Jiachen Yang H. Zha 54 43 0 23 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Yuchen Xiao Joshua Hoffman Tian Xia Chris Amato 81 28 0 19 Sep 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey Roxana Rădulescu Patrick Mannion D. Roijers A. Nowé 96 146 0 06 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 73 113 0 06 Sep 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control Shanghang Zhang Qi Zhang Jieyu Lin 44 101 0 06 Sep 2019
MANAS: Multi-Agent Neural Architecture Search Vasco Lopes Fabio Maria Carlucci P. Esperança Marco Singh Victor Gabillon Antoine Yang Hang Xu Zewei Chen Jun Wang 81 23 0 03 Sep 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 20 0 0 16 Aug 2019
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Julien Roy Paul Barde Félix G. Harvey Derek Nowrouzezahrai C. Pal 58 3 0 06 Aug 2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao 95 35 0 26 Jul 2019
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 81 23 0 22 Jul 2019
Multiple Landmark Detection using Multi-Agent Reinforcement Learning Athanasios Vlontzos A. Alansary Konstantinos Kamnitsas Daniel Rueckert Bernhard Kainz 98 57 0 30 Jun 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 77 38 0 28 Jun 2019
On Multi-Agent Learning in Team Sports Games Yunqi Zhao Igor Borovikov J. Rupert C. Somers Ahmad Beirami 54 14 0 25 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 92 191 0 11 Jun 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning Wendelin Bohmer Tabish Rashid Shimon Whiteson 44 24 0 05 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL A. Vezhnevets Yuhuai Wu Rémi Leblond Joel Z Leibo AI4CE 92 17 0 04 Jun 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams Akshat Agarwal Sumit Kumar Katia Sycara AI4CE 74 120 0 04 Jun 2019
Neural Replicator Dynamics Daniel Hennes Dustin Morrill Shayegan Omidshafiei Rémi Munos Julien Perolat ... A. Gruslys Jean-Baptiste Lespiau Paavo Parmas Edgar A. Duénez-Guzmán K. Tuyls 74 16 0 01 Jun 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning Matthew A. Wright R. Horowitz 55 3 0 31 May 2019
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning Hyunwook Kang Taehwan Kwon Jinkyoo Park J. R. Morrison 34 1 0 29 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 78 49 0 28 May 2019
Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem Christian Schroeder de Witt Thomas Hornigold AI4CE 38 8 0 17 May 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 116 34 0 17 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 52 31 0 17 May 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 90 813 0 14 May 2019
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading Uk Jo Taehyun Jo W. KIm Iljoo Yoon Dongseo Lee Seungho Lee 20 2 0 31 Mar 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces Haotian Fu Hongyao Tang Jianye Hao Zihan Lei Yingfeng Chen Changjie Fan 57 65 0 12 Mar 2019
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning Jacopo Castellini F. Oliehoek Rahul Savani Shimon Whiteson 52 3 0 20 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 Torr Jakob N. Foerster Shimon Whiteson 127 962 0 11 Feb 2019
Reinforcement Learning from Hierarchical Critics Zehong Cao Chin-Teng Lin 52 12 0 08 Feb 2019
Decentralized Multi-Agents by Imitation of a Centralized Controller A. Lin Mark J. Debord Katia Estabridis G. Hewer Guido Montufar Stanley Osher 65 6 0 06 Feb 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 80 208 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
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 78 90 0 24 Jan 2019
Hierarchical Reinforcement Learning for Multi-agent MOBA Game Zhijian Zhang Haozheng Li Lu Zhang Tianyin Zheng Ting Zhang Xiong Hao Xiaoxin Chen Min Chen Fangxu Xiao Wei Zhou 41 15 0 23 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 139 795 0 31 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 30 0 0 05 Dec 2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong 77 85 0 13 Nov 2018
Multi-Agent Common Knowledge Reinforcement Learning Christian Schroeder de Witt Jakob N. Foerster Gregory Farquhar Philip Torr Wendelin Bohmer Shimon Whiteson 102 108 0 27 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 569 0 12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 74 759 0 05 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 92 54 0 29 Sep 2018
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction Hongyao Tang Jianye Hao Tangjie Lv Yingfeng Chen Zongzhang Zhang ... Chunxu Ren Yan Zheng Zhaopeng Meng Changjie Fan Li Wang OffRL 48 23 0 25 Sep 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 75 77 0 13 Sep 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Gregory Palmer Rahul Savani K. Tuyls 47 27 0 13 Sep 2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 116 68 0 11 Sep 2018