Question: ASAP NEED HELP Question 4 [total 12 marks]: 4.1 [3 marks]: Consider an MDP that minimizes the worst possible loss instead of maximizing average undiscounted

ASAP NEED HELP

Question 4 [total 12 marks]: 4.1 [3 marks]: Consider an MDP that minimizes the worst possible loss instead of maximizing average undiscounted rewards. Explain why this strategy would not allow you to obtain an optimal solution 4.2 [3 marks]: Can you use expectimax search to solve any MDP? You may assume that you have infinite time and space. 4.3 [3 marks]: Why is q-learning not able to learn optimal values if the learning rate is fixed? 4.4 [3 marks]: Why is q-learning able to learn optimal values even if you pick random actions from every state? Question 4 [total 12 marks]: 4.1 [3 marks]: Consider an MDP that minimizes the worst possible loss instead of maximizing average undiscounted rewards. Explain why this strategy would not allow you to obtain an optimal solution 4.2 [3 marks]: Can you use expectimax search to solve any MDP? You may assume that you have infinite time and space. 4.3 [3 marks]: Why is q-learning not able to learn optimal values if the learning rate is fixed? 4.4 [3 marks]: Why is q-learning able to learn optimal values even if you pick random actions from every state

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