Reinforcement Learning, Monte Carlo Method, Machine Learning.
to the true expected values as the number of visits to each state-action pair approaches infinity. However, the only complication is that many relevant state-action pairs may never be visited. One example is policy π is deterministic where there will be only one action taken for each state