In Q-Learning for a discounted reward infinite horizon MDP with two states, the immediate reward from the current state under the current action is x and the maximum Q-factor in the next state has a value of 23.15. The old value for the Q-factor of the current state and current action is 12.5. The discount factor is 0.8 and the step size is 0.1. The new value of the Q-factor of the current state and the current action will be:

a)13.102 + 0.1x

b)18.17 + 0.9x

c)13.60 + 0.1x

d)None of the above

explain your answer