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Paper Abstract and Keywords
Presentation 2009-06-03 10:40
Reinforcement Learning of the Supervisor based on the Worst-Case Behavior Under Partial Observation
Kouji Kajiwara, Tatsushi Yamasaki (Setsunan Univ.) CST2009-1
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous work, we have proposed a synthesis method of the supervisor based on the worst-case behavior of discrete event systems (DESs) by reinforcement learning.
However, in the actual systems, the supervisor cannot always observe all event occurrences of DESs.
So, it is important to consider the system under partial observation.

This paper proposes a synthesis method of the supervisor which learns how to assign control patterns under partial observation.
We use the projection function between the supervisor and the system to be controlled for taking into account unobservable events.
The supervisor learns how to assign control patterns based on the observed event and the reward database for unobservable events.
The supervisor estimates the state of the DES and updates the evaluation values for control patterns through learning.
We show the efficiency of the proposed method by computer simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) discrete event systems / supervisory control / reinforcement learning / partial observation / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, June 2009.
Paper #  
Date of Issue 2009-05-27 (CST) 
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 CST2009-1

Conference Information
Committee MSS  
Conference Date 2009-06-03 - 2009-06-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Setsunan University, Osaka Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Petri Net, Discrete Event System, etc. 
Paper Information
Registration To MSS 
Conference Code 2009-06-CST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reinforcement Learning of the Supervisor based on the Worst-Case Behavior Under Partial Observation 
Sub Title (in English)  
Keyword(1) discrete event systems  
Keyword(2) supervisory control  
Keyword(3) reinforcement learning  
Keyword(4) partial observation  
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1st Author's Name Kouji Kajiwara  
1st Author's Affiliation Setsunan University (Setsunan Univ.)
2nd Author's Name Tatsushi Yamasaki  
2nd Author's Affiliation Setsunan University (Setsunan Univ.)
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Speaker Author-1 
Date Time 2009-06-03 10:40:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # CST2009-1 
Volume (vol) vol.109 
Number (no) no.73 
Page pp.1-6 
#Pages 6 
Date of Issue 2009-05-27 (CST) 

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