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Conference Proceedings

Applying ML algorithms to video game AI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11683 LNAI 353-362
DOI: 10.1007/978-3-030-28377-3_29
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Abstract

In this paper a comparison of selected algorithms used to learn intelligent behavior of characters in video games was presented. The experiment environment was created using Unity3D and TensorFlow. After brief description of the algorithms, the comparison of results is presented for three algorithms: Genetic Algorithm, Deep Q-Learning and Actor-Critic Algorithm.

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Kopel, M., & Pociejowski, A. (2019). Applying ML algorithms to video game AI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11683 LNAI, pp. 353–362). Springer Verlag. https://doi.org/10.1007/978-3-030-28377-3_29

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