Build your own Unbeatable TicTacToe AI
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Build an unbeatable TicTacToe AI using machine learning. Understand the algorithms and strategies that make your AI virtually impossible to defeat, while learning AI fundamentals in the process.
At a Glance
Everyone has played TicTacToe at least once in their life. Have you ever thought about creating your own AI TicTacToe player? Reinforcement Learning can help you with that. In this project, you will explore the basics of Reinforcement Learning and the Monte Carlo Method. You will learn how to train your own agent and create a highly-skilled AI player. This project is an interesting and challenging way to apply machine learning concepts to a well-known game.
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 TicTacToe
- Train and Test the agents using the TicTacToe environment
- Improve and update your algorithm.
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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