Win Blackjack with Reinforcement Learning

At a Glance

Las Vegas casinos generate over $13 billion per year, Have you ever thought about creating your own AI, to beat the house? Reinforcement Learning is the perfect tool. In this project, you will explore the basics of Reinforcement Learning and Monte Carlo Method. You will learn how to train your own agent to play the optimum game of Blackjack. Discover better ways to train your agent and analyze its performance. You will also answer the question can you beat the house?

As a popular casino card game, many have studied Blackjack closely in order to devise strategies for improving their likelihood of winning. In this project, we will use Reinforcement Learning to find the best playing strategy for Blackjack. We will use Monte Carlo Reinforcement learning algorithms to do it

you will see how Reinforcement Learning can determine the optimum Blackjack strategy in just a few minutes. You will quickly grasp important concepts of Reinforcement learning and apply open AI’s gym, the go-to framework for Reinforcement learning.