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Paper Abstract and Keywords
Presentation 2018-12-23 13:00
On Reward Sharing for Multi-agent Games Using Deep Reinforcement Learning
Kei Watanabe, Toshihiro Tachibana (Shonan Isnt. of Tech.) CAS2018-107 ICD2018-91 CPSY2018-73
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we consider a method to realize multi agent system with multiple agents cooperating by deep reinforcement learning. Furthermore, we conduct simulation experiments. Here we use the game engine "Unity" published by Unity Technologies and the machine learning framework "UnityML-Agents". We will use it to build a learning environment and create an agent architecture. The target environment here is a game where multiple agents keep points. We experimentally verified the learning method of the inference model which manipulates the agent using deep reinforcement learning, the relationship of how to give the reward and the behavior. In this paper, we report on the results.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep reinforcement learning / Multi-agents / Reward / Unity ML-Agents / TensorFlow / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 375, CPSY2018-73, pp. 109-114, Dec. 2018.
Paper # CPSY2018-73 
Date of Issue 2018-12-14 (CAS, ICD, CPSY) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 CAS2018-107 ICD2018-91 CPSY2018-73

Conference Information
Committee ICD CPSY CAS  
Conference Date 2018-12-21 - 2018-12-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CPSY 
Conference Code 2018-12-ICD-CPSY-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Reward Sharing for Multi-agent Games Using Deep Reinforcement Learning 
Sub Title (in English)  
Keyword(1) Deep reinforcement learning  
Keyword(2) Multi-agents  
Keyword(3) Reward  
Keyword(4) Unity ML-Agents  
Keyword(5) TensorFlow  
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Keyword(8)  
1st Author's Name Kei Watanabe  
1st Author's Affiliation Shonan Institute of Technology (Shonan Isnt. of Tech.)
2nd Author's Name Toshihiro Tachibana  
2nd Author's Affiliation Shonan Institute of Technology (Shonan Isnt. of Tech.)
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Speaker Author-1 
Date Time 2018-12-23 13:00:00 
Presentation Time 20 minutes 
Registration for CPSY 
Paper # CAS2018-107, ICD2018-91, CPSY2018-73 
Volume (vol) vol.118 
Number (no) no.373(CAS), no.374(ICD), no.375(CPSY) 
Page pp.109-114 
#Pages 6 
Date of Issue 2018-12-14 (CAS, ICD, CPSY) 

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