Predicting the Winner in Two Player StarCraft Games



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Sánchez Ruíz-Granados, Antonio (2015) Predicting the Winner in Two Player StarCraft Games. In Congreso de la Sociedad Española para las Ciencias del Videojuego, June, 24th, 2015, Barcelona.

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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.

Item Type:Conference or Workshop Item (Lecture)
Uncontrolled Keywords:Prediction, StarCraft, Linear and Quadratic Discriminant Analysis, Support Vector Machines, k-Nearest Neighbors
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:35948
Deposited On:25 Feb 2016 12:49
Last Modified:02 Mar 2016 09:14

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