Presentation | 2012-12-12 The reinforcement learning method that introduced diversive curiosity to induce actions to unknown information. Takeshi Nakahata, Kazushi Murakoshi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When the agent is in the face of actions to be learned in reinforcement learning, it is necessary to determine the proper timing of action in order to learn efficiently. Curiosity exists as a motivation which determines subject of interest in such a situation. Curiosity is broadly divided into specific curiosity and diversive curiosity in psychology. In this study, we focused on the diversive curiosity. Diversive curiosity is for directing the interest to a wide range of seeking unknown information in psychology. Based on the definition of diversive curiosiry in psychology, we propose a more efficient learning method which executes a action selection to induce action to unknown information by increasing the action priority according to the number of times to search each piece of information. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Reinforcement Learning / Action Selection / Diversive Curiosity |
Paper # | NC2012-75 |
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Committee | NC |
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Conference Date | 2012/12/5(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) | The reinforcement learning method that introduced diversive curiosity to induce actions to unknown information. |
Sub Title (in English) | |
Keyword(1) | Reinforcement Learning |
Keyword(2) | Action Selection |
Keyword(3) | Diversive Curiosity |
1st Author's Name | Takeshi Nakahata |
1st Author's Affiliation | Toyohashi University of Technology() |
2nd Author's Name | Kazushi Murakoshi |
2nd Author's Affiliation | Toyohashi University of Technology |
Date | 2012-12-12 |
Paper # | NC2012-75 |
Volume (vol) | vol.112 |
Number (no) | 345 |
Page | pp.pp.- |
#Pages | 6 |
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