5 7 points Policy Iteration Consider the following graph for a Markov decision process of a racing car There are three states (Cool, Warm, and Overheated) and two actions (Slow, Fast) Each arrow represents the transition probability and reward of an action For example, consider the action Slow from state Warm Its transition probabilities are P(Cool Warm, Slow) 0 5 and P(Warm Warm, Slow) 0 5 The associated reward is 1 for both transitions

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5   7 points  Policy Iteration Consider the following graph for a Markov decision process of a racing car  There are three states (Cool, Warm, and Overheated) and two actions (Slow, Fast)  Each arrow represents the transition probability and reward of an action  For example, consider the action Slow from state Warm  Its transition probabilities are  P(Cool   Warm, Slow)   0 5 and P(Warm   Warm, Slow)   0 5  The associated reward is  1 for both transitions

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Question: 5. [7 points] Policy Iteration Consider the following graph for a Markov decision process of a racing car. There are three states (Cool, Warm, and

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