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What is Markov Decision Processes Overview about?

This document discusses Markov Decision Processes and exact solution methods for solving them, including value iteration, policy iteration, and linear programming. Value iteration works by iteratively updating value estimates for each state until convergence. Policy iteration alternates between policy evaluation to calculate value functions for the current policy and policy improvement to find a better policy based on the value function. Linear programming can also be used to find the optimal value function

Author

ThườngNhẫn

Language

EN