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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
Deep hierarchical reinforcement agents for automated penetration testing Khuong Tran Ashlesha Akella Maxwell Standen Junae Kim David Bowman Toby J. Richer Chin-Teng Lin Institution One 95 41 0 14 Sep 2021
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Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments Zhenhui Ye Xiaohong Jiang Guang-hua Song Bowei Yang 44 1 0 05 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization E. Kargar Ville Kyrki 35 2 0 02 Sep 2021
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Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents Ammar Fayad M. Ibrahim 62 5 0 28 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 113 161 0 26 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 79 67 0 19 Aug 2021
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments Vasilii Davydov Alexey Skrynnik Konstantin Yakovlev Aleksandr I. Panov 51 3 0 13 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning Wanqi Xue Wei Qiu Bo An Zinovi Rabinovich S. Obraztsova C. Yeo AAML 100 35 0 09 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh Alex Schwing 74 15 0 06 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 65 23 0 05 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 103 36 0 05 Aug 2021
Model-Based Opponent Modeling Xiaopeng Yu Jiechuan Jiang Wanpeng Zhang Haobin Jiang Zongqing Lu OffRL 109 29 0 04 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 91 39 0 04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 72 42 0 29 Jul 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok J. Blumenkamp Qingbiao Li Ryan Kortvelesy Yanfeng Guo Ethan Stump OffRL 67 5 0 26 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 107 104 0 23 Jul 2021
Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek Phillip Isola 102 16 0 15 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 93 111 0 14 Jul 2021
Centralized Model and Exploration Policy for Multi-Agent RL Qizhen Zhang Chris Xiaoxuan Lu Animesh Garg Jakob N. Foerster 72 15 0 14 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 77 6 0 07 Jul 2021
Collaborative Visual Navigation Haiyang Wang Wenguan Wang Xizhou Zhu Jifeng Dai Liwei Wang EgoV 100 20 0 02 Jul 2021
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods Jian Hu Siyue Hu Shih-Wei Liao 118 15 0 27 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Yunpeng Bai Guoliang Fan 32 11 0 22 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 79 72 0 21 Jun 2021
Towards Distraction-Robust Active Visual Tracking Fangwei Zhong Peng Sun Wenhan Luo Tingyun Yan Yizhou Wang AAML 55 38 0 18 Jun 2021
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks Xiang Tan Li Zhou Haijun Wang Yuli Sun Haitao Zhao Boon-Chong Seet Jibo Wei Victor C. M. Leung 52 64 0 17 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z Leibo 81 41 0 16 Jun 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks Shai Keynan Elad Sarafian Sarit Kraus OffRL 97 30 0 12 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 94 11 0 12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 60 17 0 11 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation Minghao Zhang Pingcheng Jian Yi Wu Huazhe Xu Xiaolong Wang 51 9 0 10 Jun 2021
Metric Policy Representations for Opponent Modeling Haobin Jiang Yifan Yu Zongqing Lu 50 1 0 10 Jun 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces Chi Jin Qinghua Liu Tiancheng Yu 86 50 0 07 Jun 2021
Context-Aware Sparse Deep Coordination Graphs Tonghan Wang Liang Zeng Weijun Dong Qianlan Yang Yang Yu Chongjie Zhang 89 34 0 05 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou Bo Liu Hanjing Wang Muning Wen Runzhe Wu Ying Wen Yaodong Yang Weinan Zhang Jun Wang OffRL 61 49 0 05 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chengjie Wu Qianchuan Zhao Jun Yang Chongjie Zhang 72 146 0 04 Jun 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment Tianze Zhou Fubiao Zhang Kun Shao Kai Li Wenhan Huang ... Hangyu Mao Bin Wang Dong Li Wulong Liu Jianye Hao 82 17 0 01 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Leilei Gan Jun Xiao OffRL 129 66 0 01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 90 33 0 31 May 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 74 23 0 31 May 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 59 8 0 29 May 2021
Unbiased Asymmetric Reinforcement Learning under Partial Observability Andrea Baisero Chris Amato OffRL 61 21 0 25 May 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 394 2 0 25 May 2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication Won Joon Yun Byungju Lim Soyi Jung Young-Chai Ko Jihong Park Joongheon Kim M. Bennis 87 36 0 22 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games Won Joon Yun Sungwon Yi Joongheon Kim 57 11 0 21 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 108 50 0 18 May 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space Shuxin Li Youzhi Zhang Xinrun Wang Wanqi Xue Bo An 34 7 0 18 May 2021