Reinforcement Learning, Monte Carlo Method, Machine Learning, Artificial Intelligence.
about and is aimed at becoming optimal. This is called the target policy. Another is exploratory and is used to generate behaviour. This is the behaviour policy. An advantage of this separation is that the estimation policy may be deterministic (e.g. greedy), while the behaviour policy can continue