Improving Mini-Shogi Engine Using Self-Play and Possibility of White's Advantage
Masahiro Shioda；Takeshi Ito
artificial intelligence in game ； evaluation function ； machine learning ； self-play ； Shogi
Journal of Information Science and Engineering
|Volume or Term/Year and Month of Publication||
38卷3期（2022 / 05 / 01）
591 - 603
The artificial intelligence (AI) in Shogi has made rapid progress recently, owing to the recent establishment of a method of learning evaluation via self-play. In this paper, we applied this method to Mini-Shogi to verify the effect. Specifically, we used YaneuraOu Shogi engine to develop the Mini-Shogi program and trained a neural network-based evaluation function. Our program won all competitions in which we participated in 2020. Moreover, the experimental results suggest the second-move (White) advantage in Mini-Shogi.