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Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning

Kun Jiang Wenzhang Liu Yuanda Wang Lu Dong Changyin Sun

自动化学报（英文版）2024，Vol.11Issue(7)：1591-1604,14.

自动化学报（英文版）2024，Vol.11Issue(7)：1591-1604,14.DOI:10.1109/JAS.2024.124281

Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning

Kun Jiang ¹Wenzhang Liu ²Yuanda Wang ¹Lu Dong ³Changyin Sun⁴

作者信息

1. School of Automation,Southeast University,Nanjing 210096,China
2. School of Artificial Intelligence,Anhui University,Hefei 230601,China
3. School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China
4. School of Automation,Southeast University,Nanjing 210096||Engineering Research Center of Autonomous Unmanned System Technology,Ministry of Education,Hefei 230601,China
折叠

摘要

关键词

Latent variable model/maximum entropy/multi-agent reinforcement learning(MARL)/multi-agent system

Key words

Latent variable model/maximum entropy/multi-agent reinforcement learning(MARL)/multi-agent system

引用本文复制引用

Kun Jiang,Wenzhang Liu,Yuanda Wang,Lu Dong,Changyin Sun..Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning[J].自动化学报（英文版）,2024,11(7):1591-1604,14.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62136008,62236002,61921004,62173251,62103104),the"Zhishan"Scholars Programs of Southeast University,and the Fundamental Research Funds for the Central Universities(2242023K30034). （62136008,62236002,61921004,62173251,62103104）

自动化学报（英文版）

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