Paper Abstract and Keywords |
Presentation |
2007-12-22 16:10
The Policy Gradient On The Average Reward Manifold Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (JST/ATR) NC2007-85 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper we propose a novel policy gradient type reinforcement learning method on the average rewardmanifold, in which a metric to measure the effect of change in policy parameters on the average reward is introduced. In our method, the derivative of the average reward with respect to the policy improvement can be fixed as a constant. Moreover,
around a (sub-) optimal policy, the policy gradient method is equivalent to the Newton method. Simple simulation results with comparison to previously proposed natural policy gradient methods demonstrate the effectiveness of our policy gradient method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Reinforcement Learning / Policy Gradient / Natural Policy Gradient / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 410, NC2007-85, pp. 81-86, Dec. 2007. |
Paper # |
NC2007-85 |
Date of Issue |
2007-12-15 (NC) |
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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NC2007-85 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2007-12-22 - 2007-12-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2007-12-MBE-NC |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The Policy Gradient On The Average Reward Manifold |
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Keyword(1) |
Reinforcement Learning |
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Policy Gradient |
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Natural Policy Gradient |
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1st Author's Name |
Takamitsu Matsubara |
1st Author's Affiliation |
Nara Institute of Science and Technology, ATR-CNS (NAIST/ATR) |
2nd Author's Name |
Jun Morimoto |
2nd Author's Affiliation |
JST-ICORP, ATR-CNS (JST/ATR) |
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Speaker |
Author-1 |
Date Time |
2007-12-22 16:10:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2007-85 |
Volume (vol) |
vol.107 |
Number (no) |
no.410 |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2007-12-15 (NC) |
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