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For questions related to the various policy evaluation (PE) algorithms, which are numerical iterative algorithms that are used to find the value function associated with a given policy, which is often denoted as the "prediction problem". PE is also considered a dynamic programming method, which is regularly discussed in reinforcement learning textbooks.

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Why can the Bellman equation be turned into an update rule?

To me, Bellman update is simply supervised learning: right hand side (bootstrap) is a sample of the left hand side (conditional expectation).. The Bellman equation simply explains that the right hand …
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