PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning Paper • 2601.12901 • Published about 1 month ago
$χ_{0}$: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies Paper • 2602.09021 • Published 9 days ago • 25
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving Paper • 2512.20563 • Published Dec 23, 2025 • 1
Optimization-Guided Diffusion for Interactive Scene Generation Paper • 2512.07661 • Published Dec 8, 2025 • 3
SimScale: Learning to Drive via Real-World Simulation at Scale Paper • 2511.23369 • Published Nov 28, 2025 • 39
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Paper • 2406.15349 • Published Jun 21, 2024 • 5
Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Paper • 2506.09800 • Published Jun 11, 2025 • 1
CauSight: Learning to Supersense for Visual Causal Discovery Paper • 2512.01827 • Published Dec 1, 2025 • 7
CaRL: Learning Scalable Planning Policies with Simple Rewards Paper • 2504.17838 • Published Apr 24, 2025 • 4
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training Paper • 2503.11650 • Published Mar 14, 2025
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking Paper • 2401.06614 • Published Jan 12, 2024
Parting with Misconceptions about Learning-based Vehicle Motion Planning Paper • 2306.07962 • Published Jun 13, 2023 • 2
SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models Paper • 2403.17933 • Published Mar 26, 2024 • 1
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Paper • 2406.15349 • Published Jun 21, 2024 • 5
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Paper • 2405.17398 • Published May 27, 2024 • 1