| Paper Abstract and Keywords |
| Presentation |
2008-03-13 15:20
Efficiency improvement of reinforce learning using a selective desensitization neural network Masahiko Morita, Tomoyuki Shimbo, Takashi Hasuo, Ken Yamane (Univ. of Tsukuba) NC2007-172 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Existing reinforcement learning (RL) systems have a serious problem that they require an extremely long time for learning particularly when the state space is continuous and high dimensional.To overcome this problem, we propose a method of using a selective desensitization neural network (SDNN) for approximating the value function. We applied this method to stabilizing control of a cart-type inverted pendulum and found that the efficiency of learning and the stability of control were greatly improved. This result indicates that the SDNN function approximator has high generalization ability as well as good resolution of approximation. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
nonlinear function approximation / selective desensitization / Q-learning / cart-type inverted pendulum / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 107, no. 542, NC2007-172, pp. 355-359, March 2008. |
| Paper # |
NC2007-172 |
| Date of Issue |
2008-03-05 (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) |
| Download PDF |
NC2007-172 |
| Conference Information |
| Committee |
NC MBE |
| Conference Date |
2008-03-12 - 2008-03-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tamagawa Univ |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
NC |
| Conference Code |
2008-03-NC-MBE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Efficiency improvement of reinforce learning using a selective desensitization neural network |
| Sub Title (in English) |
|
| Keyword(1) |
nonlinear function approximation |
| Keyword(2) |
selective desensitization |
| Keyword(3) |
Q-learning |
| Keyword(4) |
cart-type inverted pendulum |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Masahiko Morita |
| 1st Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name |
Tomoyuki Shimbo |
| 2nd Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name |
Takashi Hasuo |
| 3rd Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
| 4th Author's Name |
Ken Yamane |
| 4th Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
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| Speaker |
Author-1 |
| Date Time |
2008-03-13 15:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
NC |
| Paper # |
NC2007-172 |
| Volume (vol) |
vol.107 |
| Number (no) |
no.542 |
| Page |
pp.355-359 |
| #Pages |
5 |
| Date of Issue |
2008-03-05 (NC) |