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<title>Brandon Rozek</title>
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<h1>Lecture Notes for Reinforcement Learning</h1>
<p><a href="index.html%3Fresearch%252FReinforcementLearning%252Fnotes%252Fintro.html">Chapter 1: An Introduction</a></p>
<p><a href="index.html%3Fresearch%252FReinforcementLearning%252Fnotes%252Fbandits.html">Chapter 2: Multi-armed Bandits</a></p>
<p><a href="index.html%3Fresearch%252FReinforcementLearning%252Fnotes%252Fmdp.html">Chapter 3: Markov Decision Processes</a></p>
<p><a href="index.html%3Fresearch%252FReinforcementLearning%252Fnotes%252Fdynamic.html">Chapter 4: Dynamic Programming</a></p>
<p><a href="index.html%3Fresearch%252FReinforcementLearning%252Fnotes%252Fmcmethods.html">Chapter 5: Monte Carlo Methods</a> </p>
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