Análisis de la técnica `Monte Carlo Tree Search' aplicada como Inteligencia Artifcial en el videojuego `Hearthstone: Heroes of Warcraft'
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Marcos Alvés, Álvaro Florencio de
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Abstract
El objetivo que se persigue con este trabajo es analizar el rendimiento del método Monte Carlo
Tree Search (MCTS), en el entorno del juego de cartas coleccionables Hearthstone: Heroes of
WarcraftTM, buscando maximizar el número de victorias contra distintos oponentes. Para cumplir
dicha tarea se ha realizado una versión muy parametrizada del método, que nos permitirá
probar distintas versiones y analizar según sus valores de entrada, sus resultados.
Description
The objective pursued with this project is to analyse the performance of the method Monte
Carlo Tree Search(MCTS), using the collectible card game Hearthstone:Heroes of WarcraftTM
as environment, maximizing the number of victories against di erent opponents. To accomplish
this goal a highly parameterized version of the method has been created, which will allow us
to test di erent versions and to analyse theirs results according to their input values
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Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional