This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique where an agent learns a problem through interaction with the environment. The Sarsa( ) algorithm will be applied to a first person shooter bot controller to learn the tasks of (1) navigation and item collection, and (2) combat. The results will show the validity and diversity of reinforcement learning in a first person shooter environment. Copyright © 2008, Association for the Advancement of Artificial Intelligence.
CITATION STYLE
Mcpartland, M., & Gallagher, M. (2008). Learning to be a bot: Reinforcement learning in shooter games. In Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2008 (pp. 78–83). https://doi.org/10.1609/aiide.v4i1.18676
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