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Artificial Intelligence for the Game Fantasy Realms
 Miklóšová, Tereza ; Hric, Jan (advisor) ; Zelinka, Mikuláš (referee)
In this thesis we work on the implementation of the card game Fantasy Realms for simultaneous play of more than one player and the artificial intelligence capable of playing this game. The artificial intelligence is based on greedy algorithm which we reworked to greedy algorithm with greater insight and on reinforcement learning. Greedy algorithm has been proved to be a good model for playing this game and has achieved great results in regard to average score. On the other hand learning agent based on reinforcement learning has not been very successful, because the model of the game we provided to it was not satisfactory for learning purposes. Thus the agent learned by reinforcement learning could not overcome the greedy one. 1
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