Markov Decision Processes: Foundations of Reinforcement Learning
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Introduces Dynamic Programming, focusing on saving computation by remembering previous calculations and applying it to solve optimization problems efficiently.
Covers the rod cutting problem and the change-making problem to optimize recursive calls and find the minimum number of coins needed for a given amount of money.
