dmarkham/flappy-nn

NEAT learning to play Flappy Gopher

28
/ 100
Experimental

This project explores how a neural network can learn to play a simple arcade-style game like Flappy Gopher. It takes information about the game environment as input and produces actions to control the gopher, aiming to keep it flying as long as possible. Anyone interested in observing how artificial intelligence can master basic game challenges without explicit programming would find this engaging.

No commits in the last 6 months.

Use this if you are curious about a demonstration of how AI, specifically a NEAT neural network, can learn to play and improve at a simple game through trial and error.

Not ideal if you're looking for a tool to develop or train complex AI systems for real-world applications or advanced game AI.

game-AI-demonstration neuroevolution-example machine-learning-simulation game-playing-algorithm artificial-intelligence-learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Go

License

MIT

Category

flappy-bird-ai

Last pushed

Oct 19, 2023

Commits (30d)

0

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