| Paper Abstract and Keywords |
| Presentation |
2023-11-27 10:30
Improving the reproduction of animal intelligence using reinforcement learning with World Model Takumi Fukaya, Hirokazu Tanaka (Tokyo City Univ.) NC2023-34 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
One way to evaluate artificial intelligence models that reproduce animal intelligence is to have reinforcement learning agents perform tasks in a virtual environment. In this talk, we will use the World Model, a deep reinforcement learning method, and propose to reproduce specific tasks in animal intelligence using a reinforcement learning agent.
As an example, we will compare the performance with conventional methods when learning a radial maze. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Artificial Intelligence / reinforcement learning / animal intelligence / World Models / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 285, NC2023-34, pp. 6-9, Nov. 2023. |
| Paper # |
NC2023-34 |
| Date of Issue |
2023-11-20 (NC) |
| 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 |
NC2023-34 |
| Conference Information |
| Committee |
NC MBE |
| Conference Date |
2023-11-27 - 2023-11-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kindai Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Brain Architecture, NC, ME |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2023-11-NC-MBE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Improving the reproduction of animal intelligence using reinforcement learning with World Model |
| Sub Title (in English) |
|
| Keyword(1) |
Artificial Intelligence |
| Keyword(2) |
reinforcement learning |
| Keyword(3) |
animal intelligence |
| Keyword(4) |
World Models |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(8) |
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| 1st Author's Name |
Takumi Fukaya |
| 1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name |
Hirokazu Tanaka |
| 2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2023-11-27 10:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
NC |
| Paper # |
NC2023-34 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.285 |
| Page |
pp.6-9 |
| #Pages |
4 |
| Date of Issue |
2023-11-20 (NC) |