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[2M5-GS-10-04] Rival Shogi AI That Dynamically Adjusts Its Strength to Match the Player
[[Online]]
Keywords:Shogi AI, Strength Control, Supervised Learning, MCTS
The development of AI technology has led to the development of game AI that outperforms professionals. However, because it is too strong, only a few people have been able to take advantage of it. In this study, we propose a rival AI method that dynamically adjusts the strength of the AI so that it becomes as strong as its opponent, and allows a strong AI to be used as a training partner. In this study, we have implemented the proposed method on a strong Shogi AI created by supervised learning using a game record. In the experiment, the Shogi AI was able to make appropriate moves against an amateur 5-kyu level Shogi player and an amateur 1-dan level human player.
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