Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning-Reference-Cited by-同舟云学术

Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Ma Haitong¹^ORCID,Liu Changliu²^ORCID,Li Shengbo Eben¹^ORCID,Zheng Sifa¹^ORCID,Sun Wenchao¹^ORCID,Chen Jianyu³^ORCID

Affiliation:

1. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, and the Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China

2. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

3. Institute of Interdisciplinary Information Science, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10402567.pdf?arnumber=10402567

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