Reinforcement Learning, Monte Carlo Method, Machine Learning.
following policy π. One way to solve this problem is by specifying that each pair has a nonzero probability of being selected as the start. We call this the assumption of Exploring Starts. The step followed by policy evaluation is similar to what we did for DP. That is, we improve the current