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National Repository of Grey Literature

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Machine Learning for Simulated Military Vehicles Závorka, Kamil ; Gemrot, Jakub (advisor) ; Pilát, Martin (referee) Recent research in the field of neural networks has shown that this is a very promising area of artificial intelligence. Results of the research indicate that neural networks are currently able to at least match humans in many areas. One of the intensively researched sectors is the driving of autonomous vehicles. Although most people focus on autonomous vehicles in the real world, this new artificial intelligence can also be beneficial for driving in the digital world. As more and more activities and experiments are being moved from real environments to simulated environments, the demands on the quality of artificial intelligence found in digital environments are also increasing. The aim of this work was to explore the possibilities of artificial intelligence based on deep feedback learning in the field of parking simulated vehicles. Based on this research, we created a prototype neural network and evaluated this prototype during parking in a simulated environment. Detailed record

Artificial Intelligence for Spelunky Computer Game Závorka, Kamil ; Gemrot, Jakub (advisor) ; Ježek, Pavel (referee) Spelunky is one of the desktop games, where player control agent in labyrinth and his task is to reach the exit. In this labyrinth there are many threats and quests, which makes the game interesting for making artificial intelligence, that can be adjusted for these threats and quests. The goal of this work was to create a framework for comfortable programming of artificial intelligence for this game. Although there is a tool named SpelunkBotAPI for its writing and executing, the API of this tool provides only basic controlling of agent and it is hard to use it. The approach, that I chose for this work, used the existing API and built a framework above it, that will be easier to use. For more intuitive using of the framework, this work crates GOAP (Goal Oriented Action Planner), that uses its functionality for reaching goals specified by the programmer. Detailed record

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