Reinforcement Learning, Monte Carlo Method, Machine Learning.
behavior policy is used to explore the environment and the target policy is the one we want to improve by learning the value function based on behavior policy. For example, π is the greedy policy and ultimately the optimal policy while b is exploratory (e.g., ϵ-soft). Our goal is to learn the