Flappy Bird

Neural networks evolve to play Flappy Bird, deciding when to flap based on the position of upcoming pipe gaps.

Generation0

Birds Alive0

High Score0

Score0

Bird VelocityN/A

Bird Position YN/A

First Gap

Horizontal DistanceN/A

Vertical DifferenceN/A

Gap CenterN/A

Second Gap

Horizontal DistanceN/A

Vertical DifferenceN/A

Gap CenterN/A

About This Simulation

This simulation demonstrates the NEAT algorithm applied to evolving neural networks that can play Flappy Bird. Each bird uses a neural network to decide when to flap based on the position of upcoming pipe gaps.

Technical Details

Neural Network Inputs: Bird velocity, bird Y position, distance to gaps, gap vertical positions
Neural Network Outputs: Flap decision (yes/no)
Fitness Function: Based on survival time
Population Size: 300 birds per generation