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
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Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning Shunyu Liu Mingli Song Yihe Zhou Na Yu Kaixuan Chen Zunlei Feng Mingli Song 26 7 0 08 Jul 2022
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Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning Lukas Schafer Filippos Christianos Amos Storkey Stefano V. Albrecht 24 6 0 05 Jul 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions Mingyu Kim Ji-Yun Oh Yongsik Lee Joonkee Kim S. Kim Song Chong Se-Young Yun 21 2 0 05 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios Jiajun Chai Yuanheng Zhu Dongbin Zhao 28 0 0 03 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning Ji-Yun Oh Joonkee Kim Se-Young Yun 14 5 0 28 Jun 2022
Toward multi-target self-organizing pursuit in a partially observable Markov game Lijun Sun Yu-Cheng Chang Chao Lyu Ye-ling Shi Yuhui Shi Chin-Teng Lin 26 7 0 24 Jun 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal 24 4 0 22 Jun 2022
POGEMA: Partially Observable Grid Environment for Multiple Agents Alexey Skrynnik Anton Andreychuk Konstantin Yakovlev Aleksandr I. Panov 6 6 0 22 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 33 10 0 21 Jun 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? Shuang Luo Yinchuan Li Jiahui Li Kun Kuang Furui Liu Yunfeng Shao Chao-Xiang Wu OffRL 24 6 0 20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris Thomas D. Barrett Arnu Pretorius 24 4 0 14 Jun 2022
Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic Qijun Luo Xiao Li 35 1 0 12 Jun 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy Hongzhi Hua Kaigui Wu Guixuan Wen 24 0 0 10 Jun 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence Runyu Zhang Qinghua Liu Haiquan Wang Caiming Xiong Na Li Yu Bai 29 26 0 06 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 24 14 0 06 Jun 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game Zhiyuan Yao Zihan Ding OffRL 24 2 0 03 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning Haoxing Chen Guang Yang Junge Zhang Qiyue Yin Kaiqi Huang 32 2 0 02 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL Siyi Hu Chuanlong Xie Xiaodan Liang Xiaojun Chang 16 20 0 01 Jun 2022
DM $^2$ : Decentralized Multi-Agent Reinforcement Learning for Distribution Matching Caroline Wang Ishan Durugkar Elad Liebman Peter Stone 21 5 0 01 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 26 0 0 31 May 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning Rafael Pina V. D. Silva Joosep Hook A. Kondoz 22 13 0 30 May 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen Jun Wang Yaodong Yang 26 179 0 30 May 2022
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control Jinming Ma Feng Wu 16 5 0 27 May 2022
Off-Beat Multi-Agent Reinforcement Learning Wei Qiu Weixun Wang R. Wang Bo An Yujing Hu S. Obraztsova Zinovi Rabinovich Jianye Hao Yingfeng Chen Changjie Fan OffRL 29 2 0 27 May 2022
QGNN: Value Function Factorisation with Graph Neural Networks Ryan Kortvelesy Amanda Prorok 32 15 0 25 May 2022
Scalable Multi-Agent Model-Based Reinforcement Learning Vladimir Egorov A. Shpilman 26 22 0 25 May 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani Zhicheng Zhang Nicholay Topin Z. Shi Charles A. Kamhoua Evangelos E. Papalexakis Fei Fang OffRL 83 13 0 25 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning Yue Jin Shuangqing Wei Jian Yuan Xudong Zhang 23 0 0 23 May 2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 27 0 0 21 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 40 0 0 20 May 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning Yi Hu Zhihua Zhang AAML 51 10 0 19 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 35 24 0 15 May 2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning Mingyu Yang Jian Zhao Xu Hu Wen-gang Zhou Jiangcheng Zhu Houqiang Li 25 31 0 05 May 2022
Resilient robot teams: a review integrating decentralised control, change-detection, and learning David M. Bossens Sarvapali Ramchurn Danesh Tarapore 33 5 0 21 Apr 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 27 7 0 20 Apr 2022
Multi-UAV Collision Avoidance using Multi-Agent Reinforcement Learning with Counterfactual Credit Assignment Shuangyao Huang Haibo Zhang Zhiyi Huang 17 7 0 19 Apr 2022
Learning to Transfer Role Assignment Across Team Sizes D. Nguyen Phuoc Nguyen Svetha Venkatesh T. Tran 13 7 0 17 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 32 32 0 17 Apr 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model Yuan Tian Klaus-Rudolf Kladny Qin Wang Zhiwu Huang Olga Fink AI4CE 26 7 0 12 Apr 2022
Distributed Reinforcement Learning for Robot Teams: A Review Yutong Wang Mehul Damani Pamela Wang Yuhong Cao Guillaume Sartoretti 47 22 0 07 Apr 2022
Building Decision Forest via Deep Reinforcement Learning Guixuan Wen Kaigui Wu 22 4 0 01 Apr 2022
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach Xubo Lyu Amin Banitalebi-Dehkordi Mo Chen Yong Zhang 40 2 0 29 Mar 2022
Controllable Dynamic Multi-Task Architectures Dripta S. Raychaudhuri Yumin Suh S. Schulter Xiang Yu M. Faraki Amit K. Roy-Chowdhury Manmohan Chandraker 26 32 0 28 Mar 2022