Reinforcement Learning, Monte Carlo Method, Machine Learning.
episodes and that all episodes will eventually terminate no matter what actions are selected. It is only upon the completion of an episode that values estimates and policies are changed. Thus, Monte Carlo methods are incremental in an episode-by-episode sense, but not in a step-by-step sense.