MIT 6.S094: Deep Learning for Self-Driving Cars
Highest Average Speed (V2.0): 68.69 MPH
DeepTraffic is a gamified simulation of typical highway traffic. Your task is to build a neural agent – more specifically design and train a neural network that performs well on high traffic roads. Your neural network gets to control one of the cars (displayed in red) and has to learn how to navigate efficiently to go as fast as possible. The car already comes with a safety system, so you don’t have to worry about the basic task of driving – the net only has to tell the car if it should accelerate/slow down or change lanes, and it will do so if that is possible without crashing into other cars.