Reinforcement Learning Course

Reinforcement Learning Course

Embark on a comprehensive 17-hour journey into the world of Reinforcement Learning. Explore key concepts from introduction to advanced topics, covering exploration and exploitation, Markov Decision Processes, dynamic programming, model-free prediction and control, function approximation, deep reinforcement learning, policy gradients, actor critics, planning, and models. Gain practical insights through a case study on classic games and take a tour of deep RL agents. Master the fundamentals and cutting-edge techniques of this powerful machine learning paradigm.