| Paper Abstract and Keywords |
| Presentation |
2024-03-05 14:30
Card game AI applying reinforcement learning with Unity ML-Agents
Tatsuya Watanabe, Junichi Yamamoto (THCU) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in board games such as Shogi and Go. However, achieving a strong agent in imperfect information games like card games, where the opponent's hand is unknown, is challenging. Therefore, this study aims to develop an agent for an original card game that is as strong as a human. Two approaches were employed for agent implementation: supervised learning, considering the winner's action history as labeled data, and reinforcement learning using Unity ML-Agents. Experimental battles were conducted among these two agents and the author. As a result, the reinforcement learning-based agent was able to achieve the same level of strength as the author, who is also the game creator. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Game AI / Neural Network / Reinforcement Learning / Unity ML-Agents / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 48, no. 8, AIT2024-138, pp. 375-376, March 2024. |
| Paper # |
AIT2024-138 |
| Date of Issue |
2024-02-27 (AIT) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2024-03-05 - 2024-03-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokyo University of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2024 |
| Paper Information |
| Registration To |
AIT |
| Conference Code |
2024-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Card game AI applying reinforcement learning with Unity ML-Agents |
| Sub Title (in English) |
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| Keyword(1) |
Game AI |
| Keyword(2) |
Neural Network |
| Keyword(3) |
Reinforcement Learning |
| Keyword(4) |
Unity ML-Agents |
| Keyword(5) |
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| 1st Author's Name |
Tatsuya Watanabe |
| 1st Author's Affiliation |
Tokyo Healthcare University (THCU) |
| 2nd Author's Name |
Junichi Yamamoto |
| 2nd Author's Affiliation |
Tokyo Healthcare University (THCU) |
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| Speaker |
Author-1 |
| Date Time |
2024-03-05 14:30:00 |
| Presentation Time |
80 minutes |
| Registration for |
AIT |
| Paper # |
AIT2024-138 |
| Volume (vol) |
vol.48 |
| Number (no) |
no.8 |
| Page |
pp.375-376 |
| #Pages |
2 |
| Date of Issue |
2024-02-27 (AIT) |
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