Markov Decision Processes and Exact Solution Methods
k+1(s) = ¼ k(s) for all states s. This means Hence satisfies the Bellman equation, which means is equal to the optimal value function V*. Policy Iteration Guarantees Theorem. Policy iteration is guaranteed to converge and at convergence, the current policy and its value function are the optimal policy and the optimal value function!
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