Win Blackjack with Reinforcement Learning
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Learn how to apply reinforcement learning to master Blackjack. Build an AI agent capable of making optimal decisions based on probability and strategies to maximize winnings in the game.
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?
Why you should do this Guided Project
A Look at the Project Ahead
* 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
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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.
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