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.
Generation
1
Alive
100
Best score
0
All-time
0
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 seed the next generation.
- Mutation: Weights are slightly adjusted, allowing new strategies to emerge.