Lecture 1 - Introduction

Lecture 2 - Making Sequences of Good Decisions Given a Model of the World

Lecture 3 - Model-Free Policy Evaluation

Lecture 4 - Model Free Control

Lecture 5 : Value Function Approximation

Lecture 6 : CNNs and Deep Q Learning

Lecture 7

Lecture 8 : Policy Gradient

Lecture 15 : Batch Reinforcement Learning

Lecture 16 : Monte Carlo Tree Search