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
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning Zifan Wu Chao Yu C. L. P. Chen Jianye Hao H. Zhuo 34 9 0 31 Mar 2023
The challenge of redundancy on multi-agent value factorisation Siddarth S. Singh Benjamin Rosman 36 1 0 28 Mar 2023
A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents Qin Yang Ramviyas Parasuraman AI4CE 11 4 0 28 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 24 4 0 26 Mar 2023
Presenting Multiagent Challenges in Team Sports Analytics David Radke Alexi Orchard AI4CE 16 6 0 23 Mar 2023
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles Baidi Xiao Rongpeng Li Fei-Yue Wang Chenghui Peng Jianjun Wu Zhifeng Zhao Honggang Zhang 52 9 0 23 Mar 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks Guangzhen Hu Haoran Li Shasha Liu Mingjun Ma Yuanheng Zhu Dongbin Zhao OffRL 34 6 0 22 Mar 2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning Y. Lo Christian Schroeder de Witt Samuel Sokota Jakob N. Foerster Shimon Whiteson OffRL 15 5 0 19 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao X. Wang 26 0 0 16 Mar 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 19 5 0 16 Mar 2023
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks M. Ndiaye El Houcine Bergou Hajar Elhammouti 25 7 0 15 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 22 1 0 14 Mar 2023
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation Hai Ci Mickel Liu Xuehai Pan Fangwei Zhong Yizhou Wang 43 11 0 07 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 30 1 0 03 Mar 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning Xiaoyang Yu Youfang Lin Xiangsen Wang Sheng Han Kai Lv 19 1 0 02 Mar 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning Woojun Kim Young-Jin Sung 19 7 0 02 Mar 2023
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding Yutong Wang Bairan Xiang Shinan Huang Guillaume Sartoretti 29 32 0 01 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 24 7 0 01 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas Bengisu Guresti Abdullah Vanlioglu N. K. Üre 13 5 0 28 Feb 2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning Ryan Kortvelesy Steven D. Morad Amanda Prorok AI4CE 27 2 0 24 Feb 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning Xuefeng Wang Xinran Li Jiawei Shao Jun Zhang 13 3 0 24 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 18 9 0 20 Feb 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning Cong Guan F. Chen Lei Yuan Zongzhang Zhang Yang Yu OffRL 37 4 0 19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 20 3 0 19 Feb 2023
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help Yunbo Qiu Yue Jin Lebin Yu Jian Wang Xudong Zhang 15 1 0 18 Feb 2023
Model-Based Decentralized Policy Optimization Hao Luo Jiechuan Jiang Zongqing Lu 19 0 0 16 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 26 17 0 15 Feb 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication Nancirose Piazza Vahid Behzadan AAML 27 7 0 14 Feb 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning Shanqi Liu Yujing Hu Runze Wu Dongxian Xing Yu Xiong Changjie Fan Kun Kuang Y. Liu 19 0 0 14 Feb 2023
Order Matters: Agent-by-agent Policy Optimization Xihuai Wang Zheng Tian Ziyu Wan Ying Wen J. Wang Weinan Zhang 25 26 0 13 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 30 11 0 11 Feb 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 16 1 0 10 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 24 4 0 08 Feb 2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Songyang Han Shangli Zhou Lynn Pepin Jiangwei Wang Caiwen Ding Fei Miao 13 1 0 08 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation Xinyi Yang Shiyu Huang Yiwen Sun Yuxiang Yang Chao Yu Weijuan Tu Huazhong Yang Yu Wang 21 7 0 08 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning R. Wang Longtao Zheng Wei Qiu Bowei He Bo An Zinovi Rabinovich Yujing Hu Yingfeng Chen Tangjie Lv Changjie Fan 33 1 0 07 Feb 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 21 2 0 07 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 42 13 0 07 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 28 13 0 06 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 28 3 0 04 Feb 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased Chao Yu Jiaxuan Gao Weiling Liu Bo Xu Hao Tang Jiaqi Yang Yu Wang Yi Wu 31 38 0 03 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 20 5 0 02 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z. Leibo 26 2 0 02 Feb 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning Claude Formanek Asad Jeewa Jonathan P. Shock Arnu Pretorius OffRL 32 1 0 01 Feb 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning Xu Hu Jian Zhao Wen-gang Zhou Ruili Feng Houqiang Li 29 1 0 25 Jan 2023
Differential Privacy in Cooperative Multiagent Planning Bo Chen C. Hawkins Mustafa O. Karabag Cyrus Neary Matthew T. Hale Ufuk Topcu 26 8 0 20 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning Maxime Bouton Jaeseong Jeong José Outes Carnero Adriano Mendo Alexandros Nikou 24 1 0 20 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning Matteo Bettini Ajay Shankar Amanda Prorok 22 40 0 17 Jan 2023