A racing game with semi realistc car handling. Project also includes a deep learning AI using a NEAT algorithm. AI learns pretty well and after a couple of generations can complete a few laps around the track.
Manual racing
AI training
Just install the necessary libraries:
- tkinter
- python-neat
And run the main.py
You can steer the car using
- W for accelation
- A and D for changing steering angle
- S for breaking
- R for changing gear to reverse
- Q for resetting the race
The car maintains the inertia and might need a while to get used to
You can start AI training by clicking the Train button. The application will unfortunatelly freeze the GUI (I didn't add multithreading) but every 5 generations (by default) will render all of the neural models at once
You can controll most of the NEAT algorithm variables using the config-feedforward.txt (refer to python-neat docs for informations on how to modify it) The code running the training is in the main.py file