A novel sim2real reinforcement learning algorithm for process control

Published: 01 Jan 2025, Last Modified: 09 Feb 2025Reliab. Eng. Syst. Saf. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A new sim2real RL method is introduced for process control.•State adapter significantly mitigates modeling error impact on RL control performance.•Fixed-horizon return enhances learning efficiency in process control.•Numerical and roasting process simulations validate the method’s effectiveness.
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