Reinforcement Learning

Catalog description

This course introduces the fundamentals of reinforcement learning, including Markov decision processes, value functions, and policy optimization. Building on these foundations, it explores deep reinforcement learning methods such as Deep Q-Networks and Actor?Critic algorithms, emphasizing both theoretical understanding and practical implementation.