Proceedings of the Fuzzy System Symposium
21st Fuzzy System Symposium
Session ID : 9B4-3
Conference information

Host: Japan Society for Fuzzy Theory and Intelligent Informatics

Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter

9B4.
Reinforcement Learning Based on Dynamic Construction of the state space
Motohide Umano, *Yu Hosoya, Tadayoshi Yamamura, Norio Uemori, Kazuhisa Seta
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Keywords: Reinforcement Learning, Dynamic Construction, Forgetting Facility, Fuzzy, Neural Network
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Abstract
In this paper, we propose a method with dynamic construction facility of the state space, where we initially have no state space, gradually add a new state of fuzzy set and remove unnecessary actions and states.
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© 2005 Japan Society for Fuzzy Theory and Intelligent Informatics
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