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| Presentation | 2009-03-13 11:35 Application of modular reinforcement learning to the control of robot having three different sensors Hayato Nakama, Naoki Tanaka, Satoshi Yamada (Okayama Univ. of Sci.)  NC2008-154 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We apply modular reinforcement learning to the control of robot having three different sensors. The modular reinforcement learning system is constructed by a selection module and control modules. The control problem in which the learning system must select the appropriate control from the combination of two different sensor values was trained by the modular reinforcement learning. In order to improve learning efficiency, multi–stage learning, experience strengthening, and initial learning were introduced. As a result, it turned out that selection of appropriate control module was trained by the modular reinforcement learning. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | modular reinforcement learning / multi–stage learning / experience strengthening / initial learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 480, NC2008-154, pp. 301-306, March 2009. | |
| Paper # | NC2008-154 | |
| Date of Issue | 2009-03-04 (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 | NC2008-154 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2009-03-11 - 2009-03-13 |
| 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 | 2009-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of modular reinforcement learning to the control of robot having three different sensors |
| Sub Title (in English) | |
| Keyword(1) | modular reinforcement learning |
| Keyword(2) | multi–stage learning |
| Keyword(3) | experience strengthening |
| Keyword(4) | initial learning |
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| 1st Author's Name | Hayato Nakama |
| 1st Author's Affiliation | Okayama University of Science (Okayama Univ. of Sci.) |
| 2nd Author's Name | Naoki Tanaka |
| 2nd Author's Affiliation | Okayama University of Science (Okayama Univ. of Sci.) |
| 3rd Author's Name | Satoshi Yamada |
| 3rd Author's Affiliation | Okayama University of Science (Okayama Univ. of Sci.) |
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| Speaker | Author-1 |
| Date Time | 2009-03-13 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2008-154 |
| Volume (vol) | vol.108 |
| Number (no) | no.480 |
| Page | pp.301-306 |
| #Pages | 6 |
| Date of Issue | 2009-03-04 (NC) |
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