Self Learning Cars

Simulating cars learning to drive on different maps based on NEAT-python and Pygame. Includes a GUI in PyQt and a CLI in Typer. Includes many useful extensions of PyQt widgets, and implements some basic UI elements in Pygame using my abstract PyUiElement class.

Table of Contents

• Installation
• Usage
• Features
• License
• Issues

Installation

1. Clone the repository:

   git clone https://github.com/lmProgramming/SelfLearningCars

2. Navigate to the project directory:

   cd SelfLearningCars

3. Install dependencies:

   pip install -r requirements.txt

4. Build cython code:

    python cython_setup.py build_ext --inplace

Usage

To start the GUI application, run:

python main.py

To start the CLI application, run:

python cli.py

Features

1. A GUI, that allows you to start the simulation, manage maps and manage NEAT checkpoints
2. A graphical simulation of cars driving around the map
3. Map managing: creating a new map, editing it or deleting it
4. Loading a saved NEAT checkpoints
5. Test drive a map
6. CLI interface, that allows you to do pretty much everything specified above
7. The simulation also shows a graph of scores over time and it allows to click a car to see it's neural network
8. ScrollableGallery - a small extension for PyQt
9. PyUiElement, PyInputBox, PyButton, PyImage, PyPlot and more - my Pygame UI extensions

Screenshots

Simulation

Main menu

Maps

Parameters

Test drive

Typer

License

WTFPL

Issues

I know that Pygame will sometimes not create a window, for example, if you go back to main menu after creating a new map, and then do a test drive, and then try to create another map, the window might not be created. Probably a bug on my part.