
[05] Julian Togelius - Computational Intelligence and Games
The Thesis Review
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Innovations in Procedural Content Generation
This chapter explores the creation of personalized racing tracks tailored to individual playing styles using AI, despite initial skepticism about the concept. It delves into the evolution of procedural content generation for training gaming agents, highlighting the balance between challenge and playability. The discussion also touches on broader applications of generative models within game design and security, illustrating the complexities involved in training data generation.
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