Reinforcement Learning, Monte Carlo Method, Machine Learning.
and probability of error in the estimates and then sufficient steps are taken during each policy evaluation to assure that these bounds are sufficiently small. Forgo trying to complete policy evaluation before returning to policy improvement. One extreme form of the idea is, only one iteration is