Paper Abstract and Keywords |
Presentation |
2012-12-12 09:25
The reinforcement learning method that introduced diversive curiosity to induce actions to unknown information. Takeshi Nakahata, Kazushi Murakoshi (Toyohashi Univ. of Tech.) NC2012-75 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Reinforcement Learning / Action Selection / Diversive Curiosity / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 345, NC2012-75, pp. 7-12, Dec. 2012. |
Paper # |
NC2012-75 |
Date of Issue |
2012-12-05 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2012-75 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2012-12-12 - 2012-12-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Toyohashi University of Technology |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2012-12-NC-MBE |
Language |
Japanese |
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. |
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Keyword(1) |
Reinforcement Learning |
Keyword(2) |
Action Selection |
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Diversive Curiosity |
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1st Author's Name |
Takeshi Nakahata |
1st Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
2nd Author's Name |
Kazushi Murakoshi |
2nd Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2012-12-12 09:25:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2012-75 |
Volume (vol) |
vol.112 |
Number (no) |
no.345 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2012-12-05 (NC) |