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
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning Shuai Han Mehdi Dastani Shihan Wang 29 0 0 13 May 2025
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Yasin Findik Christopher Coco Reza Azadeh OffRL 21 0 0 30 Apr 2025
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR Shahbaz P Qadri Syed He Bai 36 0 0 29 Apr 2025
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability Paul J. Pritz K. Leung 33 0 0 11 Apr 2025
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination Delin Zhao Yanbo Shan Chang Liu Shenghang Lin Yingxin Shou Bin Xu 23 0 0 09 Apr 2025
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control Anirudh Satheesh Keenan Powell 45 0 0 30 Mar 2025
An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning Julien Soulé Jean-Paul Jamont Michel Occello Louis-Marie Traonouez Paul Théron 29 0 0 30 Mar 2025
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm Chak Lam Shek Amrit Singh Bedi Anjon Basak Ellen Novoseller Nick Waytowich Priya Narayanan Dinesh Manocha Pratap Tokekar 47 0 0 24 Mar 2025
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LLM-Mediated Guidance of MARL Systems Philipp D. Siedler Ian Gemp 42 0 0 16 Mar 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks Hyunwoo Park Baekryun Seong Sang-Ki Ko GNN 60 0 0 14 Mar 2025
Guidelines for Applying RL and MARL in Cybersecurity Applications V. Mavroudis Gregory Palmer Sara Farmer Kez Smithson Whitehead David Foster Adam Price Ian Miles Alberto Caron Stephen Pasteris AAML 44 0 0 06 Mar 2025
Boosting Offline Optimizers with Surrogate Sensitivity Manh Cuong Dao Phi Le Nguyen Thao Nguyen Truong Trong Nghia Hoang OffRL 57 0 0 06 Mar 2025
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning Xu Wan Chao Yang Cheng Yang Jie Song Mingyang Sun 61 0 0 03 Mar 2025
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning Giseung Park Y. Sung OffRL 34 0 0 28 Feb 2025
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Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 54 0 0 08 Feb 2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Nikunj Gupta James Zachary Hare R. Kannan Viktor Prasanna GNN 76 0 0 06 Feb 2025
Learning Efficient Flocking Control based on Gibbs Random Fields Dengyu Zhang Chenghao Feng Xue Qingrui Zhang AI4CE 34 0 0 05 Feb 2025
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning Lavanya Ratnabala A. Fedoseev Robinroy Peter Dzmitry Tsetserukou 80 1 0 04 Feb 2025
CSAOT: Cooperative Multi-Agent System for Active Object Tracking Hy Nguyen Bao Pham Hung Du Srikanth Thudumu Rajesh Vasa K. Mouzakis 42 1 0 23 Jan 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu Yuhang Jiang Boyuan Wang Yixiu Mao Cheems Wang Chang-Shu Liu Xiangyang Ji 80 2 0 10 Jan 2025
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques Natalia Zhang X. Wang Qiwen Cui Runlong Zhou Sham Kakade Simon S. Du OffRL 48 1 0 10 Jan 2025
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation Baoqian Wang Junfei Xie Nikolay A. Atanasov 26 10 0 03 Jan 2025
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach Johan Peralez Aurélien Delage Olivier Buffet J. Dibangoye 34 1 0 03 Jan 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation Lucas C. D. Bezerra Ataíde M. G. dos Santos Shinkyu Park 35 0 0 29 Dec 2024
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC Yue Deng Yan Yu Weiyu Ma Zirui Wang Wenhui Zhu Jian Zhao Yin Zhang AAML 35 1 0 23 Dec 2024
Advances in Transformers for Robotic Applications: A Review Nikunj Sanghai Nik Bear Brown AI4CE 75 0 0 13 Dec 2024
Towards Fault Tolerance in Multi-Agent Reinforcement Learning Yuchen Shi Huaxin Pei Liang Feng Yi Zhang D. Yao 70 0 0 30 Nov 2024
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control Dickness Kwesiga Suyash Chandra Vishnoi Angshuman Guin Michael Hunter 66 0 0 28 Nov 2024
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning Ting Zhu Yue Jin Jeremie Houssineau Giovanni Montana 36 0 0 17 Nov 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning Dongsu Lee Minhae Kwon 26 0 0 22 Oct 2024
FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL Woosung Koh Wonbeen Oh S. Kim Suhin Shin Hyeongjin Kim Jaein Jang Junghyun Lee Se-Young Yun 24 0 0 21 Oct 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 44 2 0 17 Oct 2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots Milad Farjadnasab Shahin Sirouspour 33 0 0 08 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model Zeyang Liu Xinrui Yang Shiguang Sun Long Qian Lipeng Wan Xingyu Chen Xuguang Lan 22 2 0 03 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration Yun Qu Boyuan Wang Yuhang Jiang Jianzhun Shao Yixiu Mao Cheems Wang Chang Liu Xiangyang Ji 46 4 0 03 Oct 2024
Breaking the mold: The challenge of large scale MARL specialization Stefan Juang Hugh Cao Arielle Zhou Ruochen Liu Nevin L. Zhang Elvis Liu 16 1 0 03 Oct 2024
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling Jaeyeon Jang Diego Klabjan Han Liu Nital S. Patel Xiuqi Li Balakrishnan Ananthanarayanan Husam Dauod Tzung-Han Juang OffRL AI4CE 28 1 0 20 Sep 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning Claude Formanek Louise Beyers C. Tilbury Jonathan P. Shock Arnu Pretorius OffRL 34 0 0 18 Sep 2024
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning Yinbo Yu Saihao Yan Jiajia Liu AAML 23 1 0 12 Sep 2024
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning Jiaming Yin Weixiong Rao Yu Xiao Keshuang Tang 16 0 0 01 Sep 2024
On Stateful Value Factorization in Multi-Agent Reinforcement Learning Enrico Marchesini Andrea Baisero Rupali Bhati Christopher Amato OffRL 21 3 0 27 Aug 2024
On Centralized Critics in Multi-Agent Reinforcement Learning Xueguang Lyu Andrea Baisero Yuchen Xiao Brett Daley Christopher Amato OffRL 26 10 0 26 Aug 2024
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach Johan Peralez Aurélien Delage Jacopo Castellini Rafael F. Cunha J. Dibangoye 25 0 0 23 Aug 2024
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning Jihwan Oh Sungnyun Kim Gahee Kim Sunghwan Kim Se-Young Yun OffRL 54 1 0 23 Aug 2024
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The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 49 5 0 11 Aug 2024