Reinforcement Learning, Monte Carlo Method, Machine Learning.
methods, we improve the same policy π which is used for evaluating the Q-function. The policy is generally soft, meaning that π(s, a)>0 for all (s, a) pairs. There are many possible variants of on-policy methods. Here we discuss one of them: ϵ−greedy policies, meaning that greedy action is selected