Self-improving Q-learning based controller for a class of dynamical processes

Self-improving Q-learning based controller for a class of dynamical processes

This paper presents how Q-learning algorithm can be applied as a general-purpose selfimproving controller for use in industrial automation as a substitute for conventional PI controller implemented without proper tuning. Traditional Q-learning approach is redefined to better fit the applications in...

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Bibliographic Details
Main Authors: Jakub Musial, Krzysztof Stebel, Jacek Czeczot
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-09-01
Series:Archives of Control Sciences
Subjects:
process control
q-learning algorithm
reinforcement learning
intelligent control
on-line learning
Online Access:https://journals.pan.pl/Content/120823/art03.pdf

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