Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
policies. In this article, we will be focusing only on episodic tasks. They are easier to study in the context of MC methods, since the experience is obtained independently from each episode. The more episodes are available, the more information can be used to better approximate value functions.