jinglescode/reinforcement-learning-tic-tac-toe
A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.
This project helps anyone interested in understanding how an artificial intelligence can learn optimal strategies through trial and error. You'll input a simple game like Tic-Tac-Toe, and it will output a 'trained' AI agent capable of playing intelligently by evaluating the potential future value of each move. It's ideal for students or enthusiasts exploring the fundamentals of reinforcement learning.
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Use this if you want to see a clear, practical example of a reinforcement learning agent learning to play a game by understanding the 'value' of different game states.
Not ideal if you're looking for a complex, general-purpose reinforcement learning framework for advanced research or real-world applications beyond simple games.
Stars
21
Forks
1
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Sep 12, 2020
Commits (30d)
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