Virtual Self Drivng Car Model
This project used Reinforcement Learning and Q-Learning to make a Self Driving Car Model(from bottom right of the map to the top left of the map) that also adapts to LIVE changes in the map.
INTRODUCTION
The objective of the project was to train a car (the white box along with the colored circles which are sensors for the car) so that it can follow an randomly drawn road (in yellow) and move from airport (top left corner) to downtown (bottom right corner) and back. And, as expected, the car should not be crossing the road. This project was a part of an Udemy course on AI which I completed.
1: Without any road drawn:
2: With a road drawn:
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.