Schedule:

9.00 - 9.15 Opening Remarks

9.15 - 9.40 Sven Kreiss (EPFL) Compositionality, Confidence and Crowd Modeling for Self-Driving Cars

9.40 - 10.05 Mayank Bansal (Waymo) ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

10:05 - 10.30 Chelsea Finn (UC Berkeley) A Practical View on Generalization and Autonomy in the Real World

10.30 - 10.50 Coffee Break

10.50 - 11.15 Sergey Levine (UC Berkeley) Imitation, Prediction, and Model-Based Reinforcement Learning for Autonomous Driving

11.15 - 11.40 Wolfram Burgard (Toyota Research Institute)

11.40 - 12.05 Dorsa Sadigh (Stanford) Influencing Interactive Mixed-Autonomy Systems.

12.05 - 13.30 Lunch Break

13.30 - 14.30 Poster Session

14.30 - 14.55 Alexander Amini (MIT) Learning to Drive with Purpose

14.55 - 15.20 Fisher Yu (UC Berkeley) Motion and Prediction for Autonomous Driving

15.20 - 15.45 Alfredo Canziani (NYU) Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic

15.45 - 16.05 Coffee Break

16.05 - 16.30 Jianxiong Xiao (AutoX) Self-driving Car: What we can achieve today?

16.30 - 16.55 German Ros (Intel Labs) Fostering Autonomous Driving Research with CARLA

16.55 - 17.20 Venkatraman Narayanan (Aurora) The Promise and Challenge of ML in Self-Driving

17.20 - 18.40 Best Paper Award and Panel Discussion