Study of Strategy Selection Based on Phantom Go

摘要：

　　Recent years,Monte Carlo and UCT(Upper bound Confidence for Tree)have been widely used in algorithms of computer games,and considerably improved computer Go programs.Phantom Go is a game with incomplete information and different with Go.The study of Phantom Go is just beginning.Most algorithms of Phantom Go applying Monte Carlo or UCT directly,but results are not quite satisfactory.In this paper,we analysis the characteristic of Phantom go,apply several strategies in different stages and try to improve the competition of program.Our experimental findings indicate that strategies selection method can be applied to Phantom Go effectively.

关键词： Computer Game Phantom Go Monte Carlo UCT Strategy Selection

作者: LiFei Ouyang Li Wang Yajie Dong Yanqiu

作者单位: Engineering Training Center,Shenyang Aerospace University,Shenyang,110136,China Engineering Training Center,Shenyang Aerospace University,Shenyang,110136,China;Safety Engineering I

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3460-3462

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）