Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving? Paper • 2610.09695 • Published Oct 7 • 19
SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models Paper • 2610.13781 • Published Oct 9 • 21
Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving? Paper • 2610.09695 • Published Oct 7 • 19
SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models Paper • 2610.13781 • Published Oct 9 • 21
4Director: Controlling Video World Models with Rigid 3D Geometry Paper • 2610.02160 • Published Oct 1 • 18
4Director: Controlling Video World Models with Rigid 3D Geometry Paper • 2610.02160 • Published Oct 1 • 18
World Engine: Towards the Era of Post-Training for Autonomous Driving Paper • 2606.19836 • Published Jun 18 • 2
SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision Paper • 2604.01158 • Published Apr 1
Dynamics Distillation for Efficient and Transferable Control Learning Paper • 2605.01516 • Published May 2
World Engine: Towards the Era of Post-Training for Autonomous Driving Paper • 2606.19836 • Published Jun 18 • 2
CaRL: Learning Scalable Planning Policies with Simple Rewards Paper • 2504.17838 • Published Apr 24, 2025 • 4
PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes Paper • 2506.19117 • Published Jun 23, 2025
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving Paper • 2512.20563 • Published Dec 23, 2025 • 2