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| Presentation | 2011-06-24 14:40 Q-learning in Continuous Action-State Space by Using a Selective Desensitization Neural Network Takaaki Kobayashi, Takeshi Shibuya, Fumihide Tanaka, Masahiko Morita (Tsukuba Univ)  NC2011-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Value function approximation takes an important role for reinforcement learning in continuous state-action space. Conventional methods such as radial basis function networks need considerable amount of computation in its learning as well as optimal action selection. This paper proposes a novel representation of the output layer of selective desensitization neural networks. By using the method, the efficiency of learning is increased and amount of computation is decreased. The effectiveness of proposed method is confirmed through computer simulation experiments using acrobot. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Q-learning / continuous state-action space / function approximation / selective desensitization neural networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 96, NC2011-15, pp. 119-123, June 2011. | |
| Paper # | NC2011-15 | |
| Date of Issue | 2011-06-16 (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 | NC2011-15 |
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| Conference Information | |
| Committee | NC IPSJ-BIO |
| Conference Date | 2011-06-23 - 2011-06-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | 50th Anniversary Memorial Hall, University of the Ryukyus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2011-06-NC-BIO |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Q-learning in Continuous Action-State Space by Using a Selective Desensitization Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Q-learning |
| Keyword(2) | continuous state-action space |
| Keyword(3) | function approximation |
| Keyword(4) | selective desensitization neural networks |
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| 1st Author's Name | Takaaki Kobayashi |
| 1st Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
| 2nd Author's Name | Takeshi Shibuya |
| 2nd Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
| 3rd Author's Name | Fumihide Tanaka |
| 3rd Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
| 4th Author's Name | Masahiko Morita |
| 4th Author's Affiliation | University of Tsukuba (Tsukuba Univ) |
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| Speaker | Author-1 |
| Date Time | 2011-06-24 14:40:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2011-15 |
| Volume (vol) | vol.111 |
| Number (no) | no.96 |
| Page | pp.119-123 |
| #Pages | 5 |
| Date of Issue | 2011-06-16 (NC) |
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