| Paper Abstract and Keywords |
| Presentation |
2010-11-19 10:00
Learning Goal-Directed Reasoning by Relational Reinforcement Learning Hideaki Itoh, Hisao Fukumoto, Hiroshi Wakuya, Tatsuya Furukawa (Saga Univ.) AI2010-31 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Goal-directed reasoning is a type of reasoning in which an agent, who does not know how to achieve its goal, infers the way to achieve the goal by setting an achievable subgoal from which the ultimate goal can be achieved. This type of reasoning is simple yet useful in many problem-solving situations. In this paper, we use a relational reinforcement learning method, which is a combination of predicate logic and reinforcement learning, to make an agent who learns through experience the algorithm to perform the goal-directed reasoning. Especially, we report some difficulty in the use of gradient methods when learning an algorithm that involves storing some information into memory and using the stored information after a period of time. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
goal-directed reasoning / relational reinforcement learning / predicate logic / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 110, no. 301, AI2010-31, pp. 1-6, Nov. 2010. |
| Paper # |
AI2010-31 |
| Date of Issue |
2010-11-12 (AI) |
| 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) |
| Download PDF |
AI2010-31 |
| Conference Information |
| Committee |
AI |
| Conference Date |
2010-11-19 - 2010-11-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kyushu Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
AI |
| Conference Code |
2010-11-AI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Learning Goal-Directed Reasoning by Relational Reinforcement Learning |
| Sub Title (in English) |
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| Keyword(1) |
goal-directed reasoning |
| Keyword(2) |
relational reinforcement learning |
| Keyword(3) |
predicate logic |
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| 1st Author's Name |
Hideaki Itoh |
| 1st Author's Affiliation |
Saga University (Saga Univ.) |
| 2nd Author's Name |
Hisao Fukumoto |
| 2nd Author's Affiliation |
Saga University (Saga Univ.) |
| 3rd Author's Name |
Hiroshi Wakuya |
| 3rd Author's Affiliation |
Saga University (Saga Univ.) |
| 4th Author's Name |
Tatsuya Furukawa |
| 4th Author's Affiliation |
Saga University (Saga Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2010-11-19 10:00:00 |
| Presentation Time |
25 minutes |
| Registration for |
AI |
| Paper # |
AI2010-31 |
| Volume (vol) |
vol.110 |
| Number (no) |
no.301 |
| Page |
pp.1-6 |
| #Pages |
6 |
| Date of Issue |
2010-11-12 (AI) |