Reinforcement learning pro stolní hry
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
The aim of this bachelor thesis is to examine and describe selected reinforcement learning algorithms and apply them to a specific board game. The thesis contains descriptions of the principles on which reinforcement learning is based and a description of individual algorithms. These algorithms
are implemented and tested in the practical part of thesis and the results are summarized in the conclusion.
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machine learning, reinforcement learning, table games, neural network