Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian-Reference-Cited by-同舟云学术

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Published:2022 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Peng Baiyu¹^ORCID,Duan Jingliang¹^ORCID,Chen Jianyu²,Li Shengbo Eben¹^ORCID,Xie Genjin¹,Zhang Congsheng¹,Guan Yang¹^ORCID,Mu Yao³,Sun Enxin¹

Affiliation:

1. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.

2. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China, and also with the Shanghai Qi Zhi Institute, Shanghai 200000, China.

3. Department of Computer Science, University of Hong Kong, Hong Kong, China.

Funder

International Science and Technology Cooperation Program of China

NSF China

Geekplus Technology Company Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09785377.pdf?arnumber=9785377

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