godot-neuroevolution

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godot-neuroevolution

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Machine learning in godot. In this example, we use an evolutionary algorithm and neural networks to teach cars to drive on a circuit

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# Neural Network: Neuroevolution - Godot Engine

In this example, cars are driving on a circuit. They have sensors and a neural network. At first the cars don't know how to drive.
The cars that go the farthest are replicated together to create the next generation.

This is a form of evolutionary algorithm used in machine learning which is useful when we don't have data at the beginning.

See also my projects :
- [godot-perceptron](https://github.com/Greaby/godot-perceptron)
- [godot-neural-network](https://github.com/Greaby/godot-neural-network)

## How to use

When we have chosen the best cars, we reproduce them to create a child.

```gdscript
var child = NeuralNetwork.reproduce(parent1, parent2)
```

We can also create random mutations in the neural network.

```gdscript
var child = NeuralNetwork.mutate(car, Callable(self, "mutate"))
```

## Dependencies

This project requires Godot Engine 4.7.

## Licenses

-   The source code is available under the MIT license.
-   Art Assets are available under CC0 1.0 Universal ([Racing Pack by Kenney](https://www.kenney.nl/assets/racing-pack))

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