Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
(state, action) pairs. This makes it easy for the Monte Carlo algorithm to estimate any Q-function under a given policy. The diagram below shows the Q-function for a random policy where p(hit) = p(stick) = 0.5. The Q-function for the random policy. The horizontal axis denotes the player’s card sum