Policy Distillation and Value Matching in Multiagent Reinforcement Learning

15 March 2019

Papers citing "Policy Distillation and Value Matching in Multiagent Reinforcement Learning"

8 / 8 papers shown

Title
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 418 1 0 08 Feb 2025
Explainable Action Advising for Multi-Agent Reinforcement Learning Yue (Sophie) Guo Joseph Campbell Simon Stepputtis Ruiyu Li Dana Hughes Fei Fang Katia Sycara 138 16 0 15 Nov 2022
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Gerald Tesauro Jonathan P. How 104 4 0 28 Oct 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 123 25 0 09 Mar 2022
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment Huifeng Guan Yuan Gao Ming Zhao Yong Yang Fuqin Deng Tin Lun Lam 84 2 0 02 Oct 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 504 2 0 25 May 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 83 16 0 27 Mar 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang Weixun Wang Hongyao Tang Jianye Hao Zhaopeng Meng ... Wulong Liu Chen Zhang Yujing Hu Yingfeng Chen Changjie Fan 114 29 0 19 Feb 2020