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 / 747 papers shown

Title
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration Chuxiong Sun Zehua Zang Jiabao Li Jiangmeng Li Xiao Xu Rui Wang Changwen Zheng 15 8 0 19 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland Giovanni Montana 43 3 0 16 Jan 2024
CycLight: learning traffic signal cooperation with a cycle-level strategy Gengyue Han Xiaohan Liu Xianyue Peng Hao Wang Yu Han 6 6 0 16 Jan 2024
Confidence-Based Curriculum Learning for Multi-Agent Path Finding Thomy Phan Joseph Driscoll Justin Romberg Sven Koenig 18 3 0 11 Jan 2024
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey Jiechuan Jiang Kefan Su Zongqing Lu 30 3 0 10 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning Xin Yu Rongye Shi Pu Feng Yongkai Tian Simin Li Shuhao Liao Wenjun Wu 32 9 0 30 Dec 2023
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning Huiqun Li Hanhan Zhou Yifei Zou Dongxiao Yu Tian-Shing Lan 9 8 0 24 Dec 2023
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning Yanwen Ba Xuan Liu Xinning Chen Hao Wang Yang Xu Kenli Li Shigeng Zhang 20 2 0 19 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 18 10 0 18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 30 8 0 15 Dec 2023
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 21 4 0 15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 33 1 0 13 Dec 2023
Efficiently Quantifying Individual Agent Importance in Cooperative MARL Omayma Mahjoub Ruan de Kock Siddarth S. Singh Wiem Khlifi Abidine Vall Kale-ab Tessera Arnu Pretorius FAtt 32 2 0 13 Dec 2023
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning Siddarth S. Singh Omayma Mahjoub Ruan de Kock Wiem Khlifi Abidine Vall Kale-ab Tessera Arnu Pretorius 26 1 0 13 Dec 2023
A Review of Cooperation in Multi-agent Learning Yali Du Joel Z. Leibo Usman Islam Richard Willis P. Sunehag 38 31 0 08 Dec 2023
Mastering Complex Coordination through Attention-based Dynamic Graph Guangchong Zhou Zhiwei Xu Zeren Zhang Guoliang Fan GNN 8 0 0 07 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 34 15 0 03 Dec 2023
Learning to Cooperate and Communicate Over Imperfect Channels Jannis Weil Gizem Ekinci Heinz Koeppl Tobias Meuser 18 0 0 24 Nov 2023
Enhancing Multi-Agent Coordination through Common Operating Picture Integration Peihong Yu Bhoram Lee Aswin Raghavan S. Samarasekera Pratap Tokekar James Zachary Hare 16 0 0 08 Nov 2023
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade Enhong Liu Joseph Suárez Chenhui You Bo Wu Bingcheng Chen ... Yuejia Huang Kun Zhang Hanhui Yang Shi-bao Tang Phillip Isola 13 0 0 07 Nov 2023
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation Zhuoya Zhao Feifei Zhao Shiwen Wang Yinqian Sun Yi Zeng 23 1 0 06 Nov 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation Daiki E. Matsunaga Jongmin Lee Jaeseok Yoon Stefanos Leonardos Pieter Abbeel Kee-Eung Kim OODD OffRL 22 3 0 03 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization Siqi Shen Chennan Ma Chao Li Weiquan Liu Yongquan Fu Songzhu Mei Xinwang Liu Cheng-Yu Wang 13 10 0 03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 21 5 0 01 Nov 2023
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints Raheeb Hassan K. M. S. Wadith Md. Mamun-or Rashid Md. Mosaddek Khan 22 2 0 22 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 21 2 0 15 Oct 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization Simin Li Ruixiao Xu Jingqiao Xiu Yuwei Zheng Pu Feng Yaodong Yang Xianglong Liu 23 3 0 15 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 21 1 0 11 Oct 2023
Measuring Acoustics with Collaborative Multiple Agents Yinfeng Yu Changan Chen Lele Cao Fangkai Yang Fuchun Sun 18 1 0 09 Oct 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility Lang Feng Dong Xing Junru Zhang Gang Pan 21 1 0 08 Oct 2023
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games Zelai Xu Yancheng Liang Chao Yu Yu Wang Yi Wu 15 8 0 05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning Alexey Skrynnik Anton Andreychuk Maria Nesterova Konstantin Yakovlev Aleksandr I. Panov 22 17 0 02 Oct 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future Yan Song He Jiang Haifeng Zhang Zheng Tian Weinan Zhang Jun Wang OffRL 21 8 0 22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 13 19 0 22 Sep 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi-Hua Zhou LLMAG 26 4 0 22 Sep 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning Zhizun Wang D. Meger DRL 17 1 0 08 Sep 2023
Policy Diversity for Cooperative Agents M. Tan Andong Tian Ludovic Denoyer 21 2 0 28 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 29 3 0 25 Aug 2023
ProAgent: Building Proactive Cooperative Agents with Large Language Models Ceyao Zhang Kaijie Yang Siyi Hu Zihao Wang Guanghe Li ... Xiaojun Chang Junge Zhang Feng Yin Yitao Liang Yaodong Yang LM&Ro LLMAG 33 69 0 22 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 27 5 0 22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response Lei Han Chunyu Tu Zhiwen Yu Zhiyong Yu Weihua Shan Liang Wang Bin Guo 14 2 0 21 Aug 2023
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning Yi Hu Jinhang Zuo Bob Iannucci Carlee Joe-Wong 16 2 0 19 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chongjie Zhang Qianchuan Zhao 32 2 0 19 Aug 2023
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment Hao Zhang Jiaming Chen Jiyu Cheng Yibin Li Simon X. Yang Wei Zhang 28 6 0 17 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 32 0 0 13 Aug 2023
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning Jingdi Chen Tian-Shing Lan Carlee Joe-Wong 17 15 0 07 Aug 2023
BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems Md Tamjid Hossain Hung M. La S. Badsha Anton Netchaev 33 2 0 02 Aug 2023
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning Xin Yu Rongye Shi Pu Feng Yongkai Tian Jie Luo Wenjun Wu 36 7 0 30 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization Xiangsen Wang Haoran Xu Yinan Zheng Xianyuan Zhan OffRL 30 23 0 21 Jul 2023