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- Exploring reinforcement learning in process control: a comprehensive survey
RL has become increasingly prevalent for decision-making and control tasks in diverse fields such as industrial processes, biochemical systems and energy management This review paper presents a comprehensive examination of the development, models, algorithms and practical uses of RL, with a specific emphasis on its application in process control
- Exploring reinforcement learning in process control: a comprehensive survey
This review paper presents a comprehensive examination of the development, models, algorithms and practical uses of RL, with a specific emphasis on its application in process control
- Survey and Tutorial of Reinforcement Learning Methods in Process . . .
Reinforcement Learning (RL) offers a data-driven approach to derive control policies for such challenges This paper presents a survey and tutorial on RL methods, tailored for the PSE community
- Exploring reinforcement learning in process control: a comprehensive survey
Rajasekhar N , Radhakrishnan T , Samsudeen N Exploring reinforcement learning in process control: a comprehensive survey International Journal of Systems Science 2025 pp 1-30
- Exploring reinforcement learning in process control: a comprehensive survey
Article "Exploring reinforcement learning in process control: a comprehensive survey" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")
- A survey and tutorial of reinforcement learning methods in Process . . .
Reinforcement Learning (RL) offers a data-driven approach to derive control policies for such challenges This paper presents a survey and tutorial on RL methods, tailored for the PSE community
- Reinforcement Learning in Process Industries: Review and Perspective
This survey paper provides a review and perspective on intermediate and advanced reinforcement learning (RL) techniques in process industries It offers a holistic approach by covering all levels of the process control hierarchy
- Reinforcement Learning for Process Control: Review and . . . - Springer
We implement fourteen RL algorithms and apply them to six relevant benchmark environments, conducting quantitative analyses to identify the most suitable approaches for specific process control problems Finally, we draw conclusions and outline future research directions to advance RL’s application in process control
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