RL by David Silver

Lecture 1: Introduction to Reinforcement Learning by David Silver

Lecture 2: Markov Decision Processes by David Silver

Lecture 3: Planning by Dynamic Programming by David Silver

Lecture 4: Model-Free Prediction by David Silver

Lecture 5: Model-Free Control by David Silver

Lecture 6: Value Function Approximation by David Silver

Lecture 7: Policy Gradient Methods by David Silver

Lecture 8: Integrating Learning and Planning by David Silver

Lecture 9: Exploration and Exploitation by David Silver

Lecture 10: Case Study: RL in Classic Games by David Silver

Easy21 assignment by David Silver