The Extraction of Go AI-Specific Moves that Differ From Human Sences

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  • 人間の感覚と異なる囲碁AI特有の手の抽出

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AlphaGoの登場以降，囲碁AIは人間を十分に凌駕するレベルになっている．多くのプロ棋士が囲碁AIを用いて訓練するようになっているが，人間の感覚と囲碁AIの思考には大きな違いがあることも指摘されており，それが囲碁AIを用いた学習の妨げになっている．本論文では，プロ棋士の棋譜を対象に，最新の囲碁AIから見ると良い手であるが，人間的に見ると打ちにくい手を効率よく見つける手法について提案した．

Since the appearance of AlphaGo, the Go AI has reached a level far beyond that of humans. However, it has been pointed out that there is a big difference between the human senses and the moves of the Go AI, which hinders learning with the Go AI. In this paper, we propose a method for efficiently finding the good moves from the viewpoint of the Go AI but difficult to select them from the human senses, from professional Go players' game records.

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