Back to Catalog

Win Blackjack with Reinforcement Learning

IntermediateGuided Project

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?

4.6 (27 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 180

Skills You Will Learn

  • Machine Learning, Artificial Intelligence, Python

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • May 3, 2024
About This Guided Project

Why you should do this Guided Project

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.


A Look at the Project Ahead

In this project, you will learn how to:

*   Work with an OpenAI Gym environments
*   Explain what Reinforcement Learning is
*   Explain what Monte Carlo Method is
*   Create an agent that uses Monte Carlo Method to play Black Jack
*   Train and Test the agents using the Black Jack environment

What You'll Need

  • Knowledge of python programming language.

Frequently Asked Questions

  • Do I need to install any software to participate in this project?
    Everything you need to complete this project will be provided to you via the Skills Network Labs and it will all be available via a standard web browser.

  • What web browser should I use?
    The Skills Network Labs platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.


Instructors

Artem Arutyunov

Data Scientist

Hey, Artem here! I am excited about answering new challenges with data science, machine learning and especially Reinforcement Learning. Love helping people to learn, and learn myself. Studying Math and Stats at University of Toronto, hit me up if you are from there as well.

Read more

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

Read more