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Paper Abstract and Keywords
Presentation 2021-09-21 15:30
Imitation Learning: Learning Simple Tasks from a Single Demonstration using Generative Adversarial Network
Tho Nguyen Duc, Chanh Minh Tran, Phan Xuan Tan, Eiji Kamioka CNR2021-6
Abstract (in Japanese) (See Japanese page) 
(in English) Imitation learning has been successfully applied to train autonomous agents in complex tasks (e.g., self-driving, assistive robots, etc). Given expert demonstrations of a task, imitation learning aims to learn policies that can imitate the expert behaviors to accomplish the task. However, the main limitation of traditional imitation learning algorithms is that they require a large number of demonstrations to learn an optimal policy. This drawback has limited the capability of imitation learning when demonstrations are not sufficient. Therefore, to address the problem, we propose a Generative Adversarial Network-based imitation learning model that can be trained using only a single demonstration.
Keyword (in Japanese) (See Japanese page) 
(in English) Imitation Learning / Generative Adversarial Network / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 181, CNR2021-6, pp. 12-15, Sept. 2021.
Paper # CNR2021-6 
Date of Issue 2021-09-14 (CNR) 
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)
Download PDF CNR2021-6

Conference Information
Committee CNR  
Conference Date 2021-09-21 - 2021-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CNR 
Conference Code 2021-09-CNR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Imitation Learning: Learning Simple Tasks from a Single Demonstration using Generative Adversarial Network 
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Keyword(1) Imitation Learning  
Keyword(2) Generative Adversarial Network  
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1st Author's Name Tho Nguyen Duc  
1st Author's Affiliation Shibaura Institute of Technology (*)
2nd Author's Name Chanh Minh Tran  
2nd Author's Affiliation Shibaura Institute of Technology (*)
3rd Author's Name Phan Xuan Tan  
3rd Author's Affiliation Shibaura Institute of Technology (*)
4th Author's Name Eiji Kamioka  
4th Author's Affiliation Shibaura Institute of Technology (*)
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Speaker Author-1 
Date Time 2021-09-21 15:30:00 
Presentation Time 30 minutes 
Registration for CNR 
Paper # CNR2021-6 
Volume (vol) vol.121 
Number (no) no.181 
Page pp.12-15 
#Pages 4 
Date of Issue 2021-09-14 (CNR) 

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