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Car Simulation using Pymunk and Pygame

This Simulation uses Evolutionary Deep Learning via Googles TensorFlow to learn how to navigate different tracks, by only reading from 5 Sensors. You are also able to draw these maps yourself. It is inspired by this YT video by Samuel Arzt.

DISCLAIMER: This is in progress and there might still be a lot missing. Current Features:

  • Visualization via Pygame+Pymung Integration
  • Ability to create and save Maps by drawing them
  • Basic Menu Structures
  • Select and Load Created Maps into Simulation, mark Startingpoint

Next Milestone: Basic Simulation Logic, i.e. repeating same Scenario a bunch of times.

How to Run:

> git clone https://github.com/BracketJohn/DeepLearningCars
> cd DeepLearningCars
> python deepcars

ALTERNATIVELY (Installation via Pip)

> git clone https://github.com/BracketJohn/DeepLearningCars
> cd DeepLearningCars
> pip install .
> deepcars

Please keep in mind that maps will always be saved in maps, therefore installing deepcars via pip and then launching it, will result in the creation of maps.