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| Paper Abstract and Keywords | ||
| Presentation | 2020-03-10 17:10 An Application of Deep Reinforcement Learning to Networked Control Under Communication Channel Constraints Takahiro Kozuka, Kazumune Hashimoto, Toshimitsu Ushio (Osaka Univ.)  NLP2019-132 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this report, we consider a networked control system under channel constrains. Our purpose is to optimize both control inputs and channel allocation. We formulate the optimization problem using a parameterized action Markov decision process (PAMDP). By using deep reinforcement learning, we propose a controller design method that can be applied to the case where the model of the dynamical system is unknown. We evaluate our proposed method by simulation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Networked control system / Deep reinforcement learning / Scheduling / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 471, NLP2019-132, pp. 109-113, March 2020. | |
| Paper # | NLP2019-132 | |
| Date of Issue | 2020-03-02 (NLP) | |
| 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 | NLP2019-132 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2020-03-09 - 2020-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SICE-DES, IEICE-MSS, IEICE-NLP |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2020-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Application of Deep Reinforcement Learning to Networked Control Under Communication Channel Constraints |
| Sub Title (in English) | |
| Keyword(1) | Networked control system |
| Keyword(2) | Deep reinforcement learning |
| Keyword(3) | Scheduling |
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| 1st Author's Name | Takahiro Kozuka |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Kazumune Hashimoto |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Toshimitsu Ushio |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-10 17:10:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2019-132 |
| Volume (vol) | vol.119 |
| Number (no) | no.471 |
| Page | pp.109-113 |
| #Pages | 5 |
| Date of Issue | 2020-03-02 (NLP) |
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