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| Presentation | 2013-10-17 10:30 Implementation of reinforcement learning using open source software Eiji Uchibe, Kenji Doya (OIST)  CNR2013-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Reinforcement learning has been studied as an autonomous learning framework for robots. Several learning algorithms have been proposed and some studies have been applied to the robot control with many degrees of freedoms such as humanoid robots successfully. However, it is difficult for researchers/developers who are not familiar with reinforcement learning to use those algorithms. Some of them are distributed as free, open source software (OSS), but they are not fully exploited because of several problems. This paper overviews existing open source software in the field of reinforcement learning such as RL-Glue, PyBrain, and so on, and we discuss the advantages and disadvantages from a viewpoint of robot control. Next, we show how we apply open source software such as RL-Glue introduced here to our robot such as legged robots and smartphone robots in order to implement the specific reinforcement learning algorithm. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | reinforcement learning / open source software / RL-Glue / PyBrain / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 248, CNR2013-9, pp. 1-6, Oct. 2013. | |
| Paper # | CNR2013-9 | |
| Date of Issue | 2013-10-10 (CNR) | |
| 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 | CNR2013-9 |
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| Conference Information | |
| Committee | CNR |
| Conference Date | 2013-10-17 - 2013-10-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Grand Front Osaka |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Cloud Networked Robotics based on Open Source Software and Hardware |
| Paper Information | |
| Registration To | CNR |
| Conference Code | 2013-10-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Implementation of reinforcement learning using open source software |
| Sub Title (in English) | |
| Keyword(1) | reinforcement learning |
| Keyword(2) | open source software |
| Keyword(3) | RL-Glue |
| Keyword(4) | PyBrain |
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| 1st Author's Name | Eiji Uchibe |
| 1st Author's Affiliation | Okinawa Institute of Science and Technology (OIST) |
| 2nd Author's Name | Kenji Doya |
| 2nd Author's Affiliation | Okinawa Institute of Science and Technology (OIST) |
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| Speaker | Author-1 |
| Date Time | 2013-10-17 10:30:00 |
| Presentation Time | 30 minutes |
| Registration for | CNR |
| Paper # | CNR2013-9 |
| Volume (vol) | vol.113 |
| Number (no) | no.248 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2013-10-10 (CNR) |
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