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Tutorial: Training a Neural Network to Play Tic-Tac-Toe with Reinforcement Learning in Jax

By

antognini

4mo ago· 15 min readen

Summary

This article provides a tutorial on training a neural network to play Tic-Tac-Toe using reinforcement learning with Jax. The content is pedagogical in nature, focusing on teaching concepts rather than optimization, with code that can train a model to achieve perfect play in about 15 seconds on a laptop. The article includes practical resources like GitHub repositories and Colab notebooks for implementation.

Key quotes

· 3 pulled
In this article we'll learn how to train a neural network to play Tic-Tac-Toe using reinforcement learning in Jax.
This article will aim to be more pedagogical, so the code we'll end up with won't be super optimized, but it will be fast enough to train a model to perfect play in about 15 seconds on a laptop.
Code from this page can be found at this Github repo as well as in a Colab notebook (although the Colab notebook runs considerably more slowly).
Snippet from the RSS feed
In this article we’ll learn how to train a neural network to play Tic-Tac-Toeusing reinforcement learning in Jax. Th...

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