Rival Shogi AI That Dynamically Adjusts Its Strength to Match the Player

Abstract

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.