Paper Abstract and Keywords |
Presentation |
2009-01-19 10:55
Reinforcement Learning Using Selective Desensitization Neural Networks in the State Space with Redundant dimensions Tomoyuki Shimbo, Ken Yamane, Masahiko Morita (Univ. of Tsukuba) NC2008-83 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Reinforcement learning has a problem that it requires a long time particularly when the state space is high dimensional with redundant dimensions. Here we report that a function approximator comprised of the selective desensitization neural network (SDNN) improves in the efficiency of reinforcement learning in the acrobot swing-up task, avoiding the explosive increase in learning time and computational costs when redundant variables are added. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Reinforcement Learning / Function Approximator / Selective Desensitization / Redundant Dimensions / Acrobot / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 383, NC2008-83, pp. 7-12, Jan. 2009. |
Paper # |
NC2008-83 |
Date of Issue |
2009-01-12 (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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NC2008-83 |
Conference Information |
Committee |
NC |
Conference Date |
2009-01-19 - 2009-01-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Neural Dynamics, etc. |
Paper Information |
Registration To |
NC |
Conference Code |
2009-01-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Reinforcement Learning Using Selective Desensitization Neural Networks in the State Space with Redundant dimensions |
Sub Title (in English) |
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Keyword(1) |
Reinforcement Learning |
Keyword(2) |
Function Approximator |
Keyword(3) |
Selective Desensitization |
Keyword(4) |
Redundant Dimensions |
Keyword(5) |
Acrobot |
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1st Author's Name |
Tomoyuki Shimbo |
1st Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
2nd Author's Name |
Ken Yamane |
2nd Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
3rd Author's Name |
Masahiko Morita |
3rd Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
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Speaker |
Author-1 |
Date Time |
2009-01-19 10:55:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2008-83 |
Volume (vol) |
vol.108 |
Number (no) |
no.383 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2009-01-12 (NC) |
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