Reinforcement Learning, Monte Carlo Method, Machine Learning.
methods, the most important idea carried over from DP to the Monte Carlo case is: similar to policy iteration, we consider first policy evaluation, the computation of Vπ and Qπ for a fixed arbitrary policy π, then policy improvement, and, finally, generalized policy iteration. Let’s discuss them