Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
terminal states located at A4 and D1 whose rewards are R = 0. The ultimate goal is to calculate V-function for the given equiprobable policy. Algorithm Let us initialize all V-values to 0. Then we will run several iterations of the policy evaluation algorithm: The V-function on different policy