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Reinforcement Learning
Instructor: David Silver
Department: Computer Science
Institution: University College London
Platform: Independent
Price: Free
Richard S. Sutton and Andrew G. Barto. An Introduction to Reinforcement Learning. MIT Press, 1998.
Szepesvari. Algorithms for Reinforcement Learning. Morgan and Claypool Publishers. 2010.
The course consists of 10 sessions with the recored video lectures. The course covers the fundamentals of reinforcement learning, including Markov Decision Processes, Planning by Dynamic Programming, Model-Free Prediction, Model-Free Control, Value Function Approximation, Policy Gradient Methods, Integrating Learning and Planning, Exploration and Exploitation, and Case Study: RL in Classic Games.