Reinforcement learning pro stolní hry

Abstract

The aim of this master thesis is to study the topic of reinforcement learning and subsequent ap-plication of it to selected board games. This work describes the individual procedures of machineand reinforcement learning. Furthermore, selected algorithms are described in the work, whichwere implemented and subsequently tested on selected board games. At the end of the work is theevaluation of individual algorithms in their testing and a summary of which algorithms have provento be the most successful.