most citedPlanning with Adaptive World Models for Autonomous Driving

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

hep-ph2026

Two-loop BRST-restoring finite counter-terms for chiral non-abelian gauge theories

Achilleas Lazopoulos, Vera Paroutiadou

We study the renormalization of anomaly-free chiral gauge theories without scalar fields through two-loop order. We adopt the Breitenlohner--Maison--'t Hooft--Veltman (BMHV…

cs.RO2026

TADPO: Reinforcement Learning Goes Off-road

Zhouchonghao Wu, Raymond Song, Vedant Mundheda +3

Off-road autonomous driving poses significant challenges such as navigating unmapped, variable terrain with uncertain and diverse dynamics. Addressing these challenges requires eff…

cs.RO2024★ 1 cited

Planning with Adaptive World Models for Autonomous Driving

Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider +1

Motion planning is crucial for safe navigation in complex urban environments. Historically, motion planners (MPs) have been evaluated with procedurally-generated simulators like CA…

cs.RO2024

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving

Adam Villaflor, Brian Yang, Huangyuan Su +3

Significant progress has been made in training multimodal trajectory forecasting models for autonomous driving. However, effectively integrating these models with downstream planne…

cs.LG2024★ 1 cited

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios +4

Diffusion models excel at modeling complex and multimodal trajectory distributions for decision-making and control. Reward-gradient guided denoising has been recently proposed to g…