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Causal-Proto SSRL: Learning Dynamic-Necessary State Variables for Multi-Environment Reinforcement Learning |
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Zhang Meng 1,Zhang Chunhong 2,Hu Zheng 1 *,Zhuang Benhui 1
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1.State Key Laboratory Of Networking and Switching Technology, University of Posts and Telecommunications, Beijing 100876;Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, 100876;State Key Laboratory Of Networking and Switching Technology, University of Posts and Telecommunications, Beijing 100876;State Key Laboratory Of Networking and Switching Technology, University of Posts and Telecommunications, Beijing 100876
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2.Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Pos ts and Telecommunications, 100876
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*Correspondence author |
#Submitted by |
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Subject: |
Funding:
none
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Opened online:27 March 2024 |
Accepted by:
none |
Citation: Zhang Meng,Zhang Chunhong,Hu Zheng.Causal-Proto SSRL: Learning Dynamic-Necessary State Variables for Multi-Environment Reinforcement Learning[OL]. [27 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762946 |
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