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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-28 13:00 A Study on Applying Game Balancing Method Using Deep Reinforcement Learning to Pokemon Ryohei Okamura, Atsuo Ozaki (OIT)  MSS2021-61 NLP2021-132 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a method to automatically adjust the game balance of video games using rein-forcement learning. The problem with conventional methods is that they ignore the inherent strategic nature and depth of competitive games. In the proposed method, the number of moves in a game can be adjusted to a comfortable value using game refinement. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Game balance / Game-Refinement Theory / Deep Reinforcement Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 443, MSS2021-61, pp. 33-36, March 2022. | |
| Paper # | MSS2021-61 | |
| Date of Issue | 2022-03-21 (MSS, NLP) | |
| 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 | MSS2021-61 NLP2021-132 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2022-03-28 - 2022-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Applying Game Balancing Method Using Deep Reinforcement Learning to Pokemon |
| Sub Title (in English) | |
| Keyword(1) | Game balance |
| Keyword(2) | Game-Refinement Theory |
| Keyword(3) | Deep Reinforcement Learning |
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| 1st Author's Name | Ryohei Okamura |
| 1st Author's Affiliation | Osaka Institute of Technology (OIT) |
| 2nd Author's Name | Atsuo Ozaki |
| 2nd Author's Affiliation | Osaka Institute of Technology (OIT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-28 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-61, NLP2021-132 |
| Volume (vol) | vol.121 |
| Number (no) | no.443(MSS), no.444(NLP) |
| Page | pp.33-36 |
| #Pages | 4 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
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