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Paper Abstract and Keywords
Presentation 2008-03-28 11:15
Action Learning by An Artificial Neural Network
Risa Shimada, Kenya Jin'no (KGUniv.) NLP2007-170
Abstract (in Japanese) (See Japanese page) 
(in English) We would like to understand a learning feature of human. To realize such purpose, we try to learn an action by artificial neural networks. In this article, we consider an operation to load a building block into Tetris as a simple problem which is two dimensional problem. In order to learn an action, we use a supervised learning algorithm and a reinforcement learning algorith. For the supervised learning, namely, backpropergation algorithm, our numerical simulation result indicates that we cannot get a desired learning reslut. However, we confirm that the reinforcement learning algorithm conduces to a desired learning result which the block can be moved toward to the lowest location. Based on the result of reinforcement learning, we modify the backpropagation algorithm. Consequently, we confirm that the backpropagation algorithm endows the neural network with a generalized ability.
Keyword (in Japanese) (See Japanese page) 
(in English) neural network / back propagation / reinforcement learning / Tetris / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 561, NLP2007-170, pp. 19-24, March 2008.
Paper # NLP2007-170 
Date of Issue 2008-03-21 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee NLP  
Conference Date 2008-03-27 - 2008-03-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NLP 
Conference Code 2008-03-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Action Learning by An Artificial Neural Network 
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Keyword(1) neural network  
Keyword(2) back propagation  
Keyword(3) reinforcement learning  
Keyword(4) Tetris  
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1st Author's Name Risa Shimada  
1st Author's Affiliation Kanto Gakuin University (KGUniv.)
2nd Author's Name Kenya Jin'no  
2nd Author's Affiliation Kanto Gakuin University (KGUniv.)
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Speaker
Date Time 2008-03-28 11:15:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2007-170 
Volume (vol) IEICE-107 
Number (no) no.561 
Page pp.19-24 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2008-03-21 


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