Presentation 2004/6/4
A Reinforcement Learning of Optimal Supervisor Based on Language Measure
Kazutaka TANIGUTI, Toshimitsu USHIO, Tatsushi YAMASAKI,
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Abstract(in English) This paper proposes a synthesis method of an optimal supervisor in terms of a language measure by using a reinforcement learning. Recently, a concept of the language measure is introduced to the formal languages and a synthesis method of an optimal supervisor based on the language measure has been proposed. In this paper, we apply the reinforcement learning as a learning method of the language measure, and show that the optimal supervisor in terms of the language measure can be derived through learning. By computer simulation, we examine an opimality of the obtained supervisor.
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Keyword(in English) language measure / supervisor / reinforcement learning / discrete event system / Q-learning
Paper # CST2004-11
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Conference Date 2004/6/4(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Reinforcement Learning of Optimal Supervisor Based on Language Measure
Sub Title (in English)
Keyword(1) language measure
Keyword(2) supervisor
Keyword(3) reinforcement learning
Keyword(4) discrete event system
Keyword(5) Q-learning
1st Author's Name Kazutaka TANIGUTI
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Toshimitsu USHIO
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
3rd Author's Name Tatsushi YAMASAKI
3rd Author's Affiliation School of Science and Technology, Kwansei Gakuin University
Date 2004/6/4
Paper # CST2004-11
Volume (vol) vol.104
Number (no) 106
Page pp.pp.-
#Pages 6
Date of Issue