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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"

50 / 753 papers shown

Title
Emergent Road Rules In Multi-Agent Driving Environments Avik Pal Jonah Philion Yuan-Hong Liao Sanja Fidler 79 11 0 21 Nov 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip Torr Mingfei Sun Shimon Whiteson 92 346 0 18 Nov 2020
Scalable Reinforcement Learning Policies for Multi-Agent Control Christopher D. Hsu Heejin Jeong George J. Pappas Pratik Chaudhari 68 35 0 16 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching H. Khorasgani Haiyan Wang Chetan Gupta OffRL OnRL 63 10 0 09 Nov 2020
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems Jiajing Ling Kushagra Chandak Akshat Kumar AI4CE 21 0 0 09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 211 245 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 Liu 48 9 0 04 Nov 2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL Eugene Vinitsky Nathan Lichtlé Kanaad Parvate Alexandre M. Bayen 37 12 0 30 Oct 2020
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations Kalesha Bullard Franziska Meier Douwe Kiela Joelle Pineau Jakob N. Foerster 71 17 0 29 Oct 2020
Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli Mehdi Fatemi Petar Kormushev 81 23 0 28 Oct 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control Shanghang Zhang Jieyu Lin Qi Zhang 105 57 0 27 Oct 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks Jing Xu Fangwei Zhong Yizhou Wang 83 50 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 187 198 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 73 40 0 16 Oct 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 106 42 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 54 17 0 10 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning Navid Naderializadeh Fan Hung S. Soleyman D. Khosla 58 28 0 09 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 120 50 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 104 92 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 115 211 0 04 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 56 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 75 9 0 29 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 56 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 89 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 47 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 Rongpin Wang Xinrun Wang Runsheng Yu Xin Zhe Li Zhirong Wang 79 30 0 21 Aug 2020
BGC: Multi-Agent Group Belief with Graph Clustering Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang 28 1 0 20 Aug 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary Siddharth Ghiya Katia Sycara 20 3 0 18 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 96 59 0 06 Aug 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 148 458 0 03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 102 181 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 135 106 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 42 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 Alex Schwing 86 58 0 09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia Sycara AAML 124 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 72 27 0 06 Jul 2020
Reward Machines for Cooperative Multi-Agent Reinforcement Learning Cyrus Neary Zhe Xu Bo Wu Ufuk Topcu 83 47 0 03 Jul 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games N. Vadori Sumitra Ganesh P. Reddy Manuela Veloso 135 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 62 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 93 87 0 19 Jun 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning Oscar de Lima Hansal Shah Ting-Sheng Chu Brian Fogelson 63 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 141 359 0 18 Jun 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 82 58 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 107 66 0 16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 107 233 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 35 2 0 12 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 150 170 0 12 Jun 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 100 70 0 10 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 75 40 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 92 67 0 07 Jun 2020