Modern Game AI Algorithm

Getting an overview over and a fundamental understanding of the algorithms that drive Game AI and thus also AI progress, e.g. Monte Carlo Tree Search, Deep (Reinforcement) Learning, and behavior trees;

Learn how to employ these methods especially in the context of Procedural Content Generation and General Video Game Playing;

Learn how to use human feedback for generation and adaptation processes;

Obtain practical research experience, learn how to learn from experiments - be warned: the new methods as e.g. DQN are very powerful, but they require a lot of experience to be applied successfully.