Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
result, we have only 10 ⋅ 2 ⋅ 10 = 200. This number of states is low, compared to most reinforcement learning problems. For the Monte Carlo algorithm, it should be relatively easy to calculate value functions. The first-visit MC is the same as every-visit MC in blackjack since every game state can