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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)  
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  
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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
Date of Issue 2008-03-05 (NC) 


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