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Paper Abstract and Keywords
Presentation 2012-01-27 13:55
A Method to Improve Efficiency of Reinforcement Learning by Using a Vector Representation of a Policy
Daiki Ando, Daisuke Kitakoshi, Masato Suzuki (TNCT) NC2011-116
Abstract (in Japanese) (See Japanese page) 
(in English) This article proposes a novel method which improves efficiency of reinforcement learning in dynamic environments.
The proposed method employs a vector representation of reinforcement learning agent's policy, and stimulates the agent to acquire an appropriate behavior.
The agent can recognize whether environment has changed or not by means of exponential moving average vector of difference between two vectors (current and previous policy vectors.)
Several numerical simulations on agent navigation problem are carried out to evaluate the validity of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Reinforcement learning / Dynamic environment / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 419, NC2011-116, pp. 113-118, Jan. 2012.
Paper # NC2011-116 
Date of Issue 2012-01-19 (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 NC2011-116

Conference Information
Committee NC  
Conference Date 2012-01-26 - 2012-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, Complex Systems and Neurocomputing 
Paper Information
Registration To NC 
Conference Code 2012-01-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method to Improve Efficiency of Reinforcement Learning by Using a Vector Representation of a Policy 
Sub Title (in English)  
Keyword(1) Reinforcement learning  
Keyword(2) Dynamic environment  
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1st Author's Name Daiki Ando  
1st Author's Affiliation Tokyo National College of Technology (TNCT)
2nd Author's Name Daisuke Kitakoshi  
2nd Author's Affiliation Tokyo National College of Technology (TNCT)
3rd Author's Name Masato Suzuki  
3rd Author's Affiliation Tokyo National College of Technology (TNCT)
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Speaker Author-1 
Date Time 2012-01-27 13:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2011-116 
Volume (vol) vol.111 
Number (no) no.419 
Page pp.113-118 
#Pages
Date of Issue 2012-01-19 (NC) 


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