Blackjack is a game commonly found in casinos and card rooms globally. With the adventures of the MIT Blackjack Club in the late 80s, advantage blackjack has taken the world by storm. In this project, we attempt to analyze and verify statiscally the edge traditional advantage play has on the outcome of games given specific conventional rules by deploying Monte Carlo methods. Furthermore, we intend to use Reinforcement Learning Methods (Sarsa, Sarsa-Q, etc...) in order to discover if any improvements or optimal policies given variations in rules and play environment (deck penetration, ability to surrender, double after split, etc...).
