[Monte Carlo] Monte Carlo Control with Python code
Monte-Carlo Policy Iteration
Monte-Carlo Policy Iteration
Model-Free Methods
We will sequentially cover Dynamic Programming, Monte Carlo methods, and Temporal Difference methods. Sutton describes these methods in his book as follows:
Markov Process (MP, Markov Chain)
State Value Function and the Law of Iterative Expectation in Reinforcement Learning