Learning Blackjack Using Reinforcement Learning

Blackjack is a casino card game in which the player is playing against the dealer. After the cards are dealt, the player can make moves like drawing more cards, split his hand or double his bet. Counting cards that has been drawn gives the player an advantage, as the expected value to win depends on which cards are left in the deck. This project aims to find the optimal strategy to play black considering the games state. Afterwards we aim to improve the current card counting system so that when using the optimal strategy with our improved card counting, we will increase our expected earnings.