In recent years, the development of computer Go mostly use Monte Carlo algorithm. In the Monte Carlo simulation algorithm, patterns play an important role. In this research, we use cluster computing technology to mining crucial patterns from a large number of go game records, and to determine the weight of these patterns at different locations. Finally we build a 9x9 Go opening database by reinforce learning using the patterns.
為了持續優化網站功能與使用者體驗,本網站將Cookies分析技術用於網站營運、分析和個人化服務之目的。
若您繼續瀏覽本網站,即表示您同意本網站使用Cookies。