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# 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)