lexfridman/deeptraffic

DeepTraffic is a deep reinforcement learning competition hosted as part of the MIT Deep Learning courses. The goal is to create a neural network that drives a vehicle (or multiple vehicles) as fast as possible through dense highway traffic. Top 10 submissions are listed on the leaderboard and you'll be able to visualize your submission in the following way: To get started right away, this repository provides a code snippet to insert into the code box on the DeepTraffic site. We'll add additional agents as the course progresses: A basic network that achieves 66.8mph. And now let's return to the problem of traffic: "Americans will put up with anything provided it doesn't block traffic." - Dan Rather In the U.S. alone, we spend 6.9 billion hours sitting in traffic each year [1] -- roughly 10,000 human lifetimes [2]. Autonomous vehicles will be able to alleviate part (but not all) of the problem.