MaxRohowsky/neft-flappy-bird
🐦 Neural Evolution with Fixed Topologies
This project demonstrates how a simple AI can learn to play the classic Flappy Bird game. It takes the game environment as input and outputs decisions on when to 'flap' the bird's wings, ultimately aiming to achieve the highest possible score. This is for anyone curious about how AI can learn through trial and error within a game setting.
No commits in the last 6 months.
Use this if you want to see a clear, from-scratch example of a neural evolution algorithm training an AI in a simple game environment.
Not ideal if you're looking for a general-purpose machine learning library or a tool to implement complex, real-world AI solutions.
Stars
8
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2
Language
Python
License
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Category
Last pushed
Dec 19, 2024
Commits (30d)
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