Presentation 2019-03-04
Adjustment of exploratory behavior using mutual information in reinforcement learning
Kaiji Koyama, Jun Ohkubo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) One of the important problems in reinforcement learning is the exploration-exploitation trade-off. In this research, we propose a method to use mutual information as a exploration bonus in experimental settings with sudden environmental change; for example, we consider a maze problem in which walls will suddenly appear or disappear. As for the environmental changes, there are some previous researches such as the usage of entropy as exploration bonus and a meta-parameter control method in Boltzmann selection rule. Here, the proposed method using the mutual information is implemented in the Q learning, including the meta-parameter control method, and numerical experiments are performed. The numerical results show that the mutual information can work well as the exploration bonus.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) reinforcement learning / mutual information
Paper # NC2018-51
Date of Issue 2019-02-25 (NC)

Conference Information
Committee NC / MBE
Conference Date 2019/3/4(3days)
Place (in Japanese) (See Japanese page)
Place (in English) University of Electro Communications
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yutaka Hirata(Chubu Univ.) / Masaki Kyoso(TCU)
Vice Chair Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.)
Secretary Hayaru Shouno(Nagoya Univ.) / Taishin Nomura(NAIST)
Assistant Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Takumi Kobayashi(YNU) / Yasuyuki Suzuki(Osaka Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adjustment of exploratory behavior using mutual information in reinforcement learning
Sub Title (in English)
Keyword(1) reinforcement learning
Keyword(2) mutual information
1st Author's Name Kaiji Koyama
1st Author's Affiliation Saitama University(Saitama Univ.)
2nd Author's Name Jun Ohkubo
2nd Author's Affiliation Saitama University(Saitama Univ.)
Date 2019-03-04
Paper # NC2018-51
Volume (vol) vol.118
Number (no) NC-470
Page pp.pp.43-47(NC),
#Pages 5
Date of Issue 2019-02-25 (NC)