Hranie počítačových hier pomocou umelej inteligencie
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
The goal of the bachelor thesis is to implement the game Pong and then convert it to autonomous
play using algorithms. In this thesis there are two implementations one using QL algorithm which
uses Q-Table and the other using DQL algorithm which uses DNN. Agent will learn against an
unbeatable player according to which it should be able to learn to copy his moves.
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Reinforced Learning, Q-Learning, Deep Q-Learning, Pong