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Combat Management in Starcraft II Game by Means of Artificial Intelligence
Krajíček, Karel ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis focuses on the use of Artificial Intelligence and design of working module in Real-Time Strategy (RTS) game, StarCraft II. The proposed solution uses Neural Network and Q-learning for combat management. For implementation, the StarCraft 2 Learning Environment has been used as a means of communication between the designed system and the game. Evaluation of the system is based on its ability to make progress over time.
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Combat Management in Starcraft II Game by Means of Artificial Intelligence
Krajíček, Karel ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis focuses on the use of Artificial Intelligence and design of working module in Real-Time Strategy (RTS) game, StarCraft II. The proposed solution uses Neural Network and Q-learning for combat management. For implementation, the StarCraft 2 Learning Environment has been used as a means of communication between the designed system and the game. Evaluation of the system is based on its ability to make progress over time.
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Noise in the surrounding farms for fattening bulls.
KRAJÍČEK, Karel
This Bachelor Thesis studies the Noise Pollution Issue in the surrounding of a Bull Farm. In Theoretical Part there are explained the basic noise concepts, its circumscription, sources, effects on Human health and basic prevention and antinoise protective agents. There is a brief introduction of the examined Farm and Livestock as well. In Practical Part there are indicated measurement procedures, their subsequent evaluation and assessment according to relevant standards and regulations.
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