Greedy based Value Representation for Optimal Coordination in
Multi-agent Reinforcement Learning

Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning

22 November 2022

Zeyang Liu

Papers citing "Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning"

6 / 6 papers shown

Title
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
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning Chang Huang Junqiao Zhao Shatong Zhu Hongtu Zhou Chen Ye T. Feng Changjun Jiang 28 0 0 13 May 2024
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 15 19 0 22 Sep 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 25 0 0 05 Jul 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 23 0 0 14 Feb 2023
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 137 355 0 16 Oct 2019