Final answer:
Value iteration is an algorithm used in Reinforcement Learning to compute the optimal value function for a Markov Decision Process (MDP).
Step-by-step explanation:
Value iteration is an algorithm used in Reinforcement Learning to compute the optimal value function for a Markov Decision Process (MDP). In each iteration, the algorithm updates the value function by finding the maximum expected reward achievable from each state. The process continues until convergence, where the values for each state no longer change significantly.
From the given information about value iteration, the question is incomplete as it does not specify what values for v_k we have. Please provide the specific values for v_k so that I can further assist you with the question.