Presentation 2001/1/4
Decision-Making of Human Information Processing on Reinforcement Learning Task
Emiko Fujisaki, Ken-ichi Matsumoto, Katsuro Inoue,
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Abstract(in English) Trade-off between "exploration"and "exploitation"is one of the unsolved problems in the reinforcement learning.In this paper, we experiment on nine subjects with reinforcement learning task to specify the factors with which lerners deside their strategy.As the result of the experiment, strategies of learners can be classified into five groups.In addition, we found three major factors in deciding their action ; "the target rewards of the task", "the residual number of actions in the task", and "the current rewards of the task".
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Keyword(in English) trade-off between "exploration"and "exploitation" / action strategy / target rewards
Paper # AI2000-64
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Committee AI
Conference Date 2001/1/4(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Decision-Making of Human Information Processing on Reinforcement Learning Task
Sub Title (in English)
Keyword(1) trade-off between "exploration"and "exploitation"
Keyword(2) action strategy
Keyword(3) target rewards
1st Author's Name Emiko Fujisaki
1st Author's Affiliation Graduate School of Information Science Nara Institute of Science and Technology()
2nd Author's Name Ken-ichi Matsumoto
2nd Author's Affiliation Graduate School of Information Science Nara Institute of Science and Technology
3rd Author's Name Katsuro Inoue
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2001/1/4
Paper # AI2000-64
Volume (vol) vol.100
Number (no) 530
Page pp.pp.-
#Pages 6
Date of Issue