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: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_29
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DOI: https://doi.org/10.1007/978-3-030-28377-3_29
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