This paper is a case study analysis of the viability of using machine learning methods for skilled NPC agents in production level video games and how they compare to their hand-coded counterparts. The implementation and experiments were made in a simple OpenGL game about flying an aircraft through a set of checkpoints without crashing. Our conclusion is that current machine learning methods are not feasible for building the NPC agent, because, while they simplify the agent's design, they

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... tially complicate the testing and debugging processes without offering an improved ability for the NPC.