CMU's Roborace Team Launches Virtual, Autonomous Racing Challenge

CMU School of Computer Science 

A virtual, autonomous racing challenge launching this week will enable aspiring racers to head to the track without building a car, knowing how to brake and accelerate through a corner, or leaving their computer. And as teams tackle the demands of high-speed and safe driving that pushes race cars to their limits, they will improve the safety of autonomous vehicles and the learning algorithms teaching them to drive. The Learn-to-Race Autonomous Racing Virtual Challenge started Monday, Dec. 6. Competitors use the Learn-to-Race environment to teach an artificially intelligent agent how to race. The challenge is coupled with a workshop on Safe Learning for Autonomous Driving, which is accepting research paper submissions.

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