Neuroevolution Learning

Watch a population of neural networks learn to navigate obstacles using a Genetic Algorithm. Over generations, the best agents reproduce, passing on their weights with slight mutations.

How it works

Speed: 1x

Mutation: 1.0%

Generation

Alive

100

Best score

All-time

Best Agent Brain

How it works

Input:The bird "sees" its height, velocity, and the distance/gap of the next pipe.
Brain: A simple Neural Network (5 input, 8 hidden, 2 output nodes) processes the data.
Selection: Only birds that travel the furthest are chosen to seed the next generation.
Mutation:Weights are slightly adjusted, allowing for new "strategies" to emerge.