Automated Machine Learning Solutions To Gaming Applications

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Fred Quentin Hickam Jr. (Creator)
Institution
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/
Advisor
Dee Parks

Abstract: This thesis project details the creation of a simple platform game and an artificially intelligent agent capable of learning to play the game. An overview of relevant concepts, including genetic algorithms, artificial neural networks, and neuroevolution is presented. The algorithm Neuroevolution of Augmenting Topologies, utilized by the agent, is discussed in detail. Gameplay mechanics and game implementation details are presented. The agent's behavior and its development over time are explained. *Includes CD.

Additional Information

Publication
Honors Project
Hickam, F. (2017). "Automated Machine Learning Solutions To Gaming Applications." Unpublished Honors Thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2017
Keywords
Machine Learning, Video Games, Neuroevolution, Genetic Algorithms, Artificial Neural Networks

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