Peter Dürr — accepted AI-conference papers

2021

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning

Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza

ICRA 2021poster

Professional race-car drivers can execute extreme overtaking maneuvers. However, existing algorithms for autonomous overtaking either rely on simplified assumptions about the vehicle dynamics or try to solve expensive trajectory-optimization problems online. When the vehicle approaches its physical…

Cited by 104 Source ↗Scholar ↗

2021

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr

RA-L 2021

Autonomous car racing is a major challenge in robotics. It raises fundamental problems for classical approaches such as planning minimum-time trajectories under uncertain dynamics and controlling the car at the limits of its handling. Besides, the requirement of minimizing the lap time, which is a s

Cited by 154 Source ↗Scholar ↗