Paper Abstract and Keywords |
Presentation |
2012-03-12 15:30
Apprenticeship Learning for Model Parameters of Partially Observable Environments Takaki Makino (Univ. of Tokyo), Johane Takeuchi (HRI-JP) IBISML2011-94 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We consider apprentice learning, i.e., to make an agent learn a task by observing an expert demonstrating the task, in an partially observable environment when the model of the environment is uncertain. This setting
is useful in applications where the explicit modeling of the environment is difficult, such as dialogue system. We show that we can extract information about the environment model by inferring action selection process behind the demonstration, under the assumption that the expert is choosing optimal actions based on knowledge of the true model of the target environment. We show that our proposed algorithms can estimate the parameter of the environment model with much shorter demonstration compared to learning the model only from the reaction from the environment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Reinforcement Learning / POMDP / Inverse Reinforcement Learning / Bayesian Inference / Input-Output Hidden Markov Model / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 480, IBISML2011-94, pp. 49-54, March 2012. |
Paper # |
IBISML2011-94 |
Date of Issue |
2012-03-05 (IBISML) |
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) |
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IBISML2011-94 |
Conference Information |
Committee |
IBISML |
Conference Date |
2012-03-12 - 2012-03-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The Institute of Statistical Mathematics |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mathematical Statistics, Databases, etc. |
Paper Information |
Registration To |
IBISML |
Conference Code |
2012-03-IBISML |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Apprenticeship Learning for Model Parameters of Partially Observable Environments |
Sub Title (in English) |
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Keyword(1) |
Reinforcement Learning |
Keyword(2) |
POMDP |
Keyword(3) |
Inverse Reinforcement Learning |
Keyword(4) |
Bayesian Inference |
Keyword(5) |
Input-Output Hidden Markov Model |
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1st Author's Name |
Takaki Makino |
1st Author's Affiliation |
University of Tokyo (Univ. of Tokyo) |
2nd Author's Name |
Johane Takeuchi |
2nd Author's Affiliation |
Honda Research Institute Japan Co.,Ltd. (HRI-JP) |
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Speaker |
Author-1 |
Date Time |
2012-03-12 15:30:00 |
Presentation Time |
25 minutes |
Registration for |
IBISML |
Paper # |
IBISML2011-94 |
Volume (vol) |
vol.111 |
Number (no) |
no.480 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2012-03-05 (IBISML) |
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