Reinforcement Learning, Monte Carlo Method, Python3.
be called recursively until reaches its end as its returns is the same as inputs. We keep track of the usable ace, when current value is less than 10, the ace will always be taken as 11, otherwise 1; When current value is over 21 and the dealer has usable ace on hand, then the usable ace will be