2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP) 2022
DOI: 10.1109/adconip55568.2022.9894150
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Meta-Reinforcement Learning for Adaptive Control of Second Order Systems

Abstract: Meta-learning is a branch of machine learning which aims to synthesize data from a distribution of related tasks to efficiently solve new ones. In process control, many systems have similar and well-understood dynamics, which suggests it is feasible to create a generalizable controller through meta-learning. In this work, we formulate a meta reinforcement learning (meta-RL) control strategy that takes advantage of known, offline information for training, such as a model structure. The meta-RL agent is trained … Show more

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Cited by 2 publications
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References 17 publications
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