Hanhan Li

Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning

2019 · arXiv (Cornell University)

Making decisions in complex driving environments is a challenging task for autonomous agents. Imitation learning methods have great potentials for achieving such a goal. Adversarial Inverse Reinforcement Learning (AIRL) is one of the state-of-art imitation …