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Policy Distillation and Value Matching in Multiagent Reinforcement
  Learning

Policy Distillation and Value Matching in Multiagent Reinforcement Learning

15 March 2019
Samir Wadhwania
Dong-Ki Kim
Shayegan Omidshafiei
Jonathan P. How
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Papers citing "Policy Distillation and Value Matching in Multiagent Reinforcement Learning"

4 / 4 papers shown
Title
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Beining Zhang
Aditya Kapoor
Mingfei Sun
57
0
0
08 Feb 2025
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent
  Reinforcement Learning
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
Zijian Gao
Kele Xu
Bo Ding
Huaimin Wang
Yiying Li
Hongda Jia
47
15
0
27 Mar 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement
  Learning
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
26
22
0
19 Feb 2020
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