A novel sim2real reinforcement learning algorithm for process control

While reinforcement learning (RL) has potential in advanced process control and optimization, its direct interaction with real industrial processes can pose safety concerns. Model-based pre-training of RL may alleviate such risks. However, the intricate nature of industrial processes complicates the...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 254; S. 110639
Hauptverfasser:	Liang, Huiping, Xie, Junyao, Huang, Biao, Li, Yonggang, Sun, Bei, Yang, Chunhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2025
Schlagworte:	Fix-horizon return Industrial roasting process Model-plant mismatch Process control Reinforcement learning Fix-horizon return Model-plant mismatch Process control Reinforcement learning Industrial roasting process
ISSN:	0951-8320
Online-Zugang:	Volltext
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