Reinforcement Learning

Catalog description

This course covers the core principles of reinforcement learning, including Markov decision pro - cesses, dynamic programming, Q-learning, and policy gradient meth - ods. Students will learn how to design agents that can learn and adapt to dynamic environments, with practical applications in AI game design and robotics.