Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions-Reference-Cited by-同舟云学术

Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions

Published:2023 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Shang Zhiwei¹,Li Renxing²,Zheng Chunhua³^ORCID,Li Huiyun³^ORCID,Cui Yunduan³^ORCID

Affiliation:

1. Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

2. School of Software Engineering, University of Science and Technology of China, Hefei, China

3. Shenzhen Institute of Advanced Technology, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Basic Key Research Project

Shenzhen Science and Technology Funding

Shenzhen Science and Technology Innovation Commission

International Partnership Program of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10313993.pdf?arnumber=10313993

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