Course Preview

Reinforcement Learning
Instructor: David Silver
Department: Computer Science
Institution: University College London
Platform: Independent
Year: 2015
Price: Free
Textbook:
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.
Description:
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.