Ting-Sheng Chu

DriveIRL: Drive in Real Life with Inverse Reinforcement Learning

In this paper, we introduce the first published planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL). Our planner, DriveIRL, generates a diverse set of trajectory proposals and scores them with a learned model. The best trajectory is tracked by our self-driving v…