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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Training Intelligent Agents in Unity Game Engine
 Vaculík, Jan ; Chlubna, Tomáš (referee) ; Matýšek, Michal (advisor)
The goal of this work is to design applications, which demonstrate the power of machine learning in video games. To achieve this goal, this work uses the ML-Agents toolkit, which allows the creation of intelligent agents in the Unity Game Engine. Furthermore, a series of experiments showing the properties and flexibility of intelligent agents in several real-time scenarios is presented. To train the agents, the toolkit uses reinforcement learning and imitation learning algorithms.
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Training Intelligent Agents in Unity Game Engine
 Vaculík, Jan ; Chlubna, Tomáš (referee) ; Matýšek, Michal (advisor)
The goal of this work is to design applications, which demonstrate the power of machine learning in video games. To achieve this goal, this work uses the ML-Agents toolkit, which allows the creation of intelligent agents in the Unity Game Engine. Furthermore, a series of experiments showing the properties and flexibility of intelligent agents in several real-time scenarios is presented. To train the agents, the toolkit uses reinforcement learning and imitation learning algorithms.
Detailed record

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