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Explorative Policy Optimization for industrial-scale operation of complex process control systems

delete2025-06-19
delete0
PRE
AI
Z
Zengjun Zhang
S
Shaoyuan Li
Y
Yaru Yang
DOI：10.1016/j.jprocont.2025.103471delete
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Abstract

Abstract

En 中文
• Dynamic exploration in state–action space for adapting to unmodeled dynamics. • Exploration network guides agent to underexplored actions, improving control. • EPO outperforms PPO and SAC in industrial process control under uncertain conditions. • Tuned TD index in GAE balances exploration and exploitation for stable gains. • Tested in penicillin production, EPO improved efficiency, stability, and yield.

Journal

Journal of Process Control cover
Journal of Process Control
IF:
3.9
Papers:
3.4K
Citations:
7.3K

Organization

No organization information available