:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ding, Wenhao, Veer, Sushant, Leung, Karen, Cao, Yulong, Pavone, Marco
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2502.05677
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RealDrive: Retrieval-Augmented Driving with Diffusion Models
by: Ding, Wenhao, et al.
Published: (2025)

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
by: Diehl, Christopher, et al.
Published: (2024)

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
by: Seo, Junwon, et al.
Published: (2026)

RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
by: Patrikar, Jay, et al.
Published: (2024)

Driving Everywhere with Large Language Model Policy Adaptation
by: Li, Boyi, et al.
Published: (2024)

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios
by: Ding, Wenhao, et al.
Published: (2023)

The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
by: Patrikar, Jay, et al.
Published: (2025)

Online Aggregation of Trajectory Predictors
by: Tong, Alex, et al.
Published: (2025)

Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
by: Clark, Emma, et al.
Published: (2024)

RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
by: Liu, Qichao, et al.
Published: (2025)

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
by: Chakraborty, Kaustav, et al.
Published: (2025)

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
by: Ivanovic, Boris, et al.
Published: (2025)

Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
by: Remy, Isaac, et al.
Published: (2026)

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
by: Luo, Rachel, et al.
Published: (2025)

System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles
by: Chakraborty, Kaustav, et al.
Published: (2024)

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
by: Wang, Jing, et al.
Published: (2025)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)

Convex Hulls of Reachable Sets
by: Lew, Thomas, et al.
Published: (2023)

Diagnostic Runtime Monitoring with Martingales
by: Hindy, Ali, et al.
Published: (2024)

Pseudo-Simulation for Autonomous Driving
by: Cao, Wei, et al.
Published: (2025)

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning
by: Elhafsi, Amine, et al.
Published: (2025)

Data Scaling Laws for End-to-End Autonomous Driving
by: Naumann, Alexander, et al.
Published: (2025)

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
by: Zhang, Junrui, et al.
Published: (2025)

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
by: Xie, Yuting, et al.
Published: (2024)

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
by: NVIDIA, et al.
Published: (2025)

Using Surprise Index for Competency Assessment in Autonomous Decision-Making
by: Ratheesh, Akash, et al.
Published: (2023)

Text2Motion: From Natural Language Instructions to Feasible Plans
by: Lin, Kevin, et al.
Published: (2023)

Sample-Efficient Safety Assurances using Conformal Prediction
by: Luo, Rachel, et al.
Published: (2021)

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
by: Mahjourian, Reza, et al.
Published: (2024)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics
by: Banerjee, S., et al.
Published: (2020)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

Online Distribution Shift Detection via Recency Prediction
by: Luo, Rachel, et al.
Published: (2022)

DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios
by: Ling, Shihong, et al.
Published: (2025)

Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
by: Singhal, Aaryan, et al.
Published: (2023)

SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending
by: Kuang, Yuxuan, et al.
Published: (2025)

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
by: Chen, Keyu, et al.
Published: (2026)

STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification
by: Kapoor, Parv, et al.
Published: (2025)