Presentation | 2007-03-16 A computational study on motor skill aquisition Rintaro TAGUCHI, Fumihiko ISHIDA, Yutaka SAKAGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although humans can acquire various motor skills by themselves, appropriate instructions by the expert instructors provides strong advantages for efficient learning, especially when we try to learn complex skills like skiing. In the present study, the authors built a reinforcement learning model which received "indirect reward", corresponding to such external instructions, in addition to the conventional reward telling the success/failure of the task, and examined how indirect reward affected the learning process through a computer-simulated experiment. The result shows that appropriate indirect reward assisted to build a superior internal model of the environment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Motor skill / Reward / Reinforcement learning / Internal model |
Paper # | NC2006-190 |
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Committee | NC |
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Conference Date | 2007/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A computational study on motor skill aquisition |
Sub Title (in English) | |
Keyword(1) | Motor skill |
Keyword(2) | Reward |
Keyword(3) | Reinforcement learning |
Keyword(4) | Internal model |
1st Author's Name | Rintaro TAGUCHI |
1st Author's Affiliation | Graduate School of Information Systems, University of Electro-Communications() |
2nd Author's Name | Fumihiko ISHIDA |
2nd Author's Affiliation | Graduate School of Information Systems, University of Electro-Communications |
3rd Author's Name | Yutaka SAKAGUCHI |
3rd Author's Affiliation | Graduate School of Information Systems, University of Electro-Communications |
Date | 2007-03-16 |
Paper # | NC2006-190 |
Volume (vol) | vol.106 |
Number (no) | 590 |
Page | pp.pp.- |
#Pages | 6 |
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