# Lecture Notes for Reinforcement Learning

[Chapter 1: An Introduction](intro)

[Chapter 2: Multi-armed Bandits](bandits)

[Chapter 3: Markov Decision Processes](mdp)

[Chapter 4: Dynamic Programming](dynamic)

[Chapter 5: Monte Carlo Methods](mcmethods)