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
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together Shanqi Liu Licheng Wen Jinhao Cui Xuemeng Yang Junjie Cao Yong-jin Liu 24 8 0 04 Nov 2020
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Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli Mehdi Fatemi Petar Kormushev 19 23 0 28 Oct 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control S. Zhang Jieyu Lin Qi Zhang 24 57 0 27 Oct 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks Jing Xu Fangwei Zhong Yizhou Wang 21 47 0 25 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Multi-Agent Collaboration via Reward Attribution Decomposition Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 39 40 0 16 Oct 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 16 40 0 15 Oct 2020
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint Guangzhen Hu Yuanheng Zhu Dongbin Zhao Mengchen Zhao Jianye Hao 19 17 0 10 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning Navid Naderializadeh Fan Hung S. Soleyman D. Khosla 18 27 0 09 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 14 49 0 06 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 27 86 0 05 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 39 0 04 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 22 10 0 02 Oct 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 33 9 0 29 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 16 1 0 16 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 29 9 0 09 Sep 2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning Chi Zhang Philip Odonkor Shuai Zheng H. Khorasgani Susumu Serita Chetan Gupta 22 20 0 24 Aug 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication Xu He Bo An Yanghua Li Haikai Chen R. Wang Xinrun Wang Runsheng Yu Xin Zhe Li Zhirong Wang 13 29 0 21 Aug 2020
BGC: Multi-Agent Group Belief with Graph Clustering Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang 8 1 0 20 Aug 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary Siddharth Ghiya Katia P. Sycara 13 3 0 18 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 51 437 0 03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop Jonathan Chung Anna Luo Xavier Raffin Scott Perry OffRL 14 3 0 20 Jul 2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks Unnat Jain Luca Weihs Eric Kolve Ali Farhadi Svetlana Lazebnik Aniruddha Kembhavi A. Schwing 23 55 0 09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia P. Sycara AAML 31 32 0 06 Jul 2020
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning Meng Zhou Ziyu Liu Pengwei Sui Yixuan Li Yuk Ying Chung 23 26 0 06 Jul 2020
Reward Machines for Cooperative Multi-Agent Reinforcement Learning Cyrus Neary Zhe Xu Bo Wu Ufuk Topcu 17 44 0 03 Jul 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games N. Vadori Sumitra Ganesh P. Reddy Manuela Veloso 14 15 0 23 Jun 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 28 2 0 22 Jun 2020
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning Sheng Li Jayesh K. Gupta Peter Morales R. Allen Mykel J. Kochenderfer GNN 33 82 0 19 Jun 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning Oscar de Lima Hansal Shah Ting-Sheng Chu Brian Fogelson 32 11 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 30 345 0 18 Jun 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 27 54 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
Human and Multi-Agent collaboration in a human-MARL teaming framework N. Navidi Francois Chabot Sagar Kurandwad Irv Lustigman Vincent Robert Gregory Szriftgiser Andrea Schuch 19 2 0 12 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 10 163 0 12 Jun 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 18 67 0 10 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 26 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 29 64 0 07 Jun 2020
Incorporating Pragmatic Reasoning Communication into Emergent Language Yipeng Kang Tonghan Wang Gerard de Melo LLMAG LRM AI4CE 18 21 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 26 7 0 07 Jun 2020
Logical Team Q-learning: An approach towards factored policies in cooperative MARL Lucas Cassano Ali H. Sayed OffRL 33 2 0 05 Jun 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 11 13 0 04 Jun 2020
Multi-Agent Determinantal Q-Learning Yaodong Yang Ying Wen Lihuan Chen Jun Wang Kun Shao D. Mguni Weinan Zhang 24 71 0 02 Jun 2020