FACMAC: Factored Multi-Agent Centralised Policy Gradients

14 March 2020

Bei Peng

Tabish Rashid

Christian Schroeder de Witt

Pierre-Alexandre Kamienny

Papers citing "FACMAC: Factored Multi-Agent Centralised Policy Gradients"

32 / 32 papers shown

Title
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes Shalin Jain Jiazhen Liu Siva Kailas H. Ravichandar 29 0 0 10 May 2025
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 73 2 0 18 Feb 2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Nikunj Gupta James Zachary Hare R. Kannan Viktor Prasanna GNN 73 0 0 06 Feb 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu Chao Yu Ruize Zhang Huining Yuan Xiangmin Yi Shilong Ji Chuqi Wang Wenhao Tang Yu-Xiang Wang 133 0 0 04 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 89 0 0 30 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 80 34 0 03 Jan 2025
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
Coordination Failure in Cooperative Offline MARL C. Tilbury Claude Formanek Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 33 1 0 01 Jul 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay A. Atanasov Eduardo Montijano C. Sagüés 23 2 0 30 Dec 2023
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning Chuhao Qin Evangelos Pournaras 27 1 0 16 Nov 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 27 5 0 22 Aug 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 20 7 0 04 Jul 2023
Formal Modelling for Multi-Robot Systems Under Uncertainty Charlie Street Masoumeh Mansouri Bruno Lacerda 13 0 0 26 May 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 16 0 0 12 Apr 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
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 20 5 0 02 Feb 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 27 16 0 15 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 20 1 0 06 Dec 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 21 0 0 24 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 28 6 0 17 Sep 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 18 16 0 02 Aug 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 16 36 0 07 Jul 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 19 6 0 20 Apr 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri P. Koumoutsakos CLL OffRL 10 7 0 24 Mar 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 93 49 0 06 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 16 58 0 19 Aug 2021
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 66 101 0 24 Jul 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 18 32 0 31 May 2020
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 40 408 0 11 Aug 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 175 597 0 22 Sep 2016