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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
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Conference Information
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)  
Keyword(1) Game AI  
Keyword(2) Neural Network  
Keyword(3) Reinforcement Learning  
Keyword(4) Unity ML-Agents  
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 
Date of Issue 2024-02-27 (AIT) 

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