Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control-Reference-Cited by-同舟云学术

Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control

Author:

Li Cong¹^ORCID,Liu Qingchen²^ORCID,Zhou Zhehua¹^ORCID,Buss Martin¹^ORCID,Liu Fangzhou³^ORCID

Affiliation:

1. Chair of Automatic Control Engineering, Technical University of Munich, Munich, Germany

2. Department of Automation, University of Science and Technology of China, Hefei, China

3. Research Center of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China

Funder

Science and Technology Major Project of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference36 articles.

2. Off-policy risk-sensitive reinforcement learning based constrained robust optimal control;li;arXiv 2006 05681,2020

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