Reinforcement learning with Gaussian process regression using variational free energy

The essential part of existing reinforcement learning algorithms that use Gaussian process regression involves a complicated online Gaussian process regression algorithm. Our study proposes online and mini-batch Gaussian process regression algorithms that are easier to implement and faster to estima...

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Bibliographic Details
Main Authors: Kameda Kiseki, Tanaka Fuyuhiko
Format: Article
Language:English
Published: De Gruyter 2023-03-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2022-0205