Paper Abstract and Keywords |
Presentation |
2022-09-16 13:30
Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game Junjie Zhong, Toshiharu Sugawara (Waseda Univ.) AI2022-26 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Multi-agent interaction structures that contain mixed cooperative-competitive relationships appear in many realistic situations. However, in multi-agent reinforcement learning, how agents recognize other agents and identify coordinated actions with limited information exchange is a challenging issue. We think that when temporal information including other agents' histories (such as their decisions and solutions) and distances from them is shared among agents through communications, all agents can have models of all other agents and thus obtain information necessary for determining coordinated actions through an asymmetric game process. Based on this consideration, our proposed method can mitigate the issue of non-stationarity and describe relationships between agents by setting non-cooperative objectives for the models of other agents to obtain better solutions. We then experimentally show that agents with our method could achieve better coordination and achieve more appropriate behavior than those with the method without communication and the method without modeling other agents. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
game theory / multi-agent reinforcement learning / modeling other agents / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 186, AI2022-26, pp. 48-53, Sept. 2022. |
Paper # |
AI2022-26 |
Date of Issue |
2022-09-08 (AI) |
ISSN |
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) |
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AI2022-26 |
Conference Information |
Committee |
AI |
Conference Date |
2022-09-15 - 2022-09-16 |
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(See Japanese page) |
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AI |
Conference Code |
2022-09-AI |
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English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game |
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game theory |
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multi-agent reinforcement learning |
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modeling other agents |
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1st Author's Name |
Junjie Zhong |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
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Toshiharu Sugawara |
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Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-09-16 13:30:00 |
Presentation Time |
20 minutes |
Registration for |
AI |
Paper # |
AI2022-26 |
Volume (vol) |
vol.122 |
Number (no) |
no.186 |
Page |
pp.48-53 |
#Pages |
6 |
Date of Issue |
2022-09-08 (AI) |
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