In general, for Q-Learning to converge to the optimal Q-values (Select all that apply)

(a) It is necessary that every state-action pair is visited infinitely often.

(b) It is necessary that the learning rate (weight given to new samples) is decreased to 0 over time.

(c) It is necessary that the discount is less than 0.5.

(d) It is necessary that actions get chosen according to arg maxa Q(s, a).