| Paper Abstract and Keywords |
| Presentation |
2013-11-28 14:00
Efficient Channel Division and Information Sharing Using Reinforcement Learning For Cooperative Multi-agent Systems Xue Zhang, Toshiharu Sugawara (Waseda Univ.) AI2013-21 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We propose a method that teams of software agents have been increasingly used in sophisticated real-world systems. In these teams, agents typically need to communicate with each other to cooperate for solving a problem. However, the communication mediums are highly restricted making it infeasible for every agent to broadcast all relevant information to each other. For realizing efficient cooperative actions, not only fair usage of communication bandwidth, but also sharing communication media/channels with collaborating agents is required. To solve this problem, we propose a decentralized algorithm by introducing the two steps of channel division and information sharing with the purpose of maximizing the utility of the whole system. This combines multi-agent learning techniques with fast decision-theoretic reasoning mechanisms to predict the impact that a single agent has on the entire system. We present that our method outperforms the conventional decentralized method by 7.54%, and the results show that our algorithm is more efficient. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Reinforcement learning / Teamwork / Communication / Cooperative agent / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 113, no. 332, AI2013-21, pp. 13-18, Nov. 2013. |
| Paper # |
AI2013-21 |
| Date of Issue |
2013-11-21 (AI) |
| 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 |
AI2013-21 |
| Conference Information |
| Committee |
AI |
| Conference Date |
2013-11-28 - 2013-11-29 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
AI |
| Conference Code |
2013-11-AI |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Efficient Channel Division and Information Sharing Using Reinforcement Learning For Cooperative Multi-agent Systems |
| Sub Title (in English) |
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| Keyword(1) |
Reinforcement learning |
| Keyword(2) |
Teamwork |
| Keyword(3) |
Communication |
| Keyword(4) |
Cooperative agent |
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| 1st Author's Name |
Xue Zhang |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Toshiharu Sugawara |
| 2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2013-11-28 14:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
AI |
| Paper # |
AI2013-21 |
| Volume (vol) |
vol.113 |
| Number (no) |
no.332 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2013-11-21 (AI) |