Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning-Reference-Cited by-同舟云学术

Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning

Published:2023-03 Issue: Volume:171 Page:108168
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Li Lijuan^ORCID,Yang Xue,Yang Shipin,Xu Xiaowei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

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