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In this video, the presenter explains the concept of a Markov decision process and how to calculate the expected utility of a policy in a stochastic environment. He introduces the idea of discounted rewards and discusses how they can be used to evaluate different policies. Finally, he explains how the optimal policy is the one with the highest expected utility.
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