Predicting the Winner in Two Player StarCraft Games

Abstract

In this paper we compare different machine learning algorithms to predict the outcome of 2 player games in StarCraft, a wellknown Real-Time Strategy (RTS) game. In particular we discuss the game state representation, the accuracy of the prediction as the game progresses, the size of the training set and the stability of the predictions.