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What is Solving MDPS: Policy Iteration about?

The document discusses the Policy Iteration method for solving Markov Decision Processes (MDPs) to find optimal policies, even with inaccurate utility function estimates. It outlines the steps of the Policy Iteration algorithm, which involves starting with an arbitrary policy, evaluating it, and then improving it iteratively. The document also explains the simplified version of the Bellman equation used during policy evaluation, which leads to a system of linear equations that can be solved efficiently.

Author

abinathsabi

Language

EN