Combining Old-fashioned Computer Go with Monte Carlo Go

被引：0
|
作者：
Chelaru, Florin [1 ]
Ciortuz, Liviu [1 ,2 ]
机构：
[1] Alexandru Ioan Cuza Univ, Fac Comp Sci, Gen Berthelot 16, Iasi 700483, Romania
[2] Alexandru Ioan Cuza Univ, Dept Comp Sci, Iasi 700483, Romania
来源：
PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING | 2009年
关键词：
D O I：
10.1109/SYNASC.2008.77
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we discuss the idea of combining old-fashioned Computer Go with Monte Carlo Go. We introduce an analyze-after approach to random simulations. We also briefly present the other features of our present Monte Carlo implementation with Upper Confidence Trees. We then explain our approach to adding this implementation as a module in the GNU Go 3.6 engine, and finally show some preliminary results of the entire work, ideas for future work and conclusions.
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页码：216 / +
页数：2
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