%0 Journal Article
%T Estimating Winning Probability for Texas Hold'em Poker
%A Wenkai Li
%A Lin Shang
%J International Journal of Machine Learning and Computing
%D 2013
%I IACSIT Press
%R 10.7763/ijmlc.2013.v3.275
%X Among all the technologies in creating a good poker agent, estimating winning probability is a key issue. In this paper, we propose an approach to estimating winning probability for Texas HoldĄŻem poker. We design a data structure using both the observable data from the current board and the history. A Support Vector Machine classifier is trained and 5-fold cross-validation is employed. We create a poker agent with some decision making strategies to compete. Experimental results show that our method has outperformed three other agents in precision of estimating winning probability.
%K Opponent modeling
%K support vector machine
%K texas holdĄŻem poker
%K winning probability.
%U http://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=35&id=272