MaxRohowsky/neft-flappy-bird

🐦 Neural Evolution with Fixed Topologies

25
/ 100
Experimental

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.

AI-demonstration game-AI neural-evolution genetic-algorithms game-development-study
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

Python

License

Category

flappy-bird-ai

Last pushed

Dec 19, 2024

Commits (30d)

0

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