Saved in:
| Main Authors: | Ly, Nguyen, Tatsuoka, Caroline, Nagaraj, Jai, Levy, Jacob, Palafox, Fernando, Fridovich-Keil, David, Lu, Hannah |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.00289 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
by: Levy, Jacob, et al.
Published: (2024)
by: Levy, Jacob, et al.
Published: (2024)
Generalized Information Gathering Under Dynamics Uncertainty
by: Palafox, Fernando, et al.
Published: (2026)
by: Palafox, Fernando, et al.
Published: (2026)
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
by: Levy, Jacob, et al.
Published: (2026)
by: Levy, Jacob, et al.
Published: (2026)
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
by: Levy, Jacob, et al.
Published: (2025)
by: Levy, Jacob, et al.
Published: (2025)
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)
by: Remy, Isaac, et al.
Published: (2024)
A Player Selection Network for Scalable Game-Theoretic Prediction and Planning
by: Qiu, Tianyu, et al.
Published: (2025)
by: Qiu, Tianyu, et al.
Published: (2025)
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
by: Jain, Yash, et al.
Published: (2026)
by: Jain, Yash, et al.
Published: (2026)
A Forensic Analysis of Synthetic Data in RL: Diagnosing and Solving Algorithmic Failures in Model-Based Policy Optimization
by: Barkley, Brett, et al.
Published: (2025)
by: Barkley, Brett, et al.
Published: (2025)
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
by: Liu, Xinjie, et al.
Published: (2025)
by: Liu, Xinjie, et al.
Published: (2025)
VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
by: Oddo, Girolamo, et al.
Published: (2025)
by: Oddo, Girolamo, et al.
Published: (2025)
Auto-Encoding Bayesian Inverse Games
by: Liu, Xinjie, et al.
Published: (2024)
by: Liu, Xinjie, et al.
Published: (2024)
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
by: Barkley, Brett, et al.
Published: (2024)
by: Barkley, Brett, et al.
Published: (2024)
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)
by: Lopez, Antonio, et al.
Published: (2024)
Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
by: Lu, Hongliang, et al.
Published: (2025)
by: Lu, Hongliang, et al.
Published: (2025)
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
by: Khan, Hamzah I., et al.
Published: (2025)
by: Khan, Hamzah I., et al.
Published: (2025)
Active Inverse Learning in Stackelberg Trajectory Games
by: Ward, William, et al.
Published: (2023)
by: Ward, William, et al.
Published: (2023)
Deep learning for model correction of dynamical systems with data scarcity
by: Tatsuoka, Caroline, et al.
Published: (2024)
by: Tatsuoka, Caroline, et al.
Published: (2024)
Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
by: Kotecha, Prakrut, et al.
Published: (2026)
by: Kotecha, Prakrut, et al.
Published: (2026)
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
by: Barkley, Brett, et al.
Published: (2025)
by: Barkley, Brett, et al.
Published: (2025)
Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning
by: Barkley, Brett, et al.
Published: (2026)
by: Barkley, Brett, et al.
Published: (2026)
A Recovery Guarantee for Sparse Neural Networks
by: Fridovich-Keil, Sara, et al.
Published: (2025)
by: Fridovich-Keil, Sara, et al.
Published: (2025)
BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies
by: Singh, Anya, et al.
Published: (2026)
by: Singh, Anya, et al.
Published: (2026)
Modeling the Real World with High-Density Visual Particle Dynamics
by: Whitney, William F., et al.
Published: (2024)
by: Whitney, William F., et al.
Published: (2024)
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
by: Grigorescu, Sorin, et al.
Published: (2025)
by: Grigorescu, Sorin, et al.
Published: (2025)
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
by: Wang, Jie, et al.
Published: (2024)
by: Wang, Jie, et al.
Published: (2024)
Learn to Swim: Data-Driven LSTM Hydrodynamic Model for Quadruped Robot Gait Optimization
by: Han, Fei, et al.
Published: (2025)
by: Han, Fei, et al.
Published: (2025)
On Foundation Models for Dynamical Systems from Purely Synthetic Data
by: Ziegler, Martin, et al.
Published: (2024)
by: Ziegler, Martin, et al.
Published: (2024)
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
by: Amer, Abdelhakim, et al.
Published: (2025)
by: Amer, Abdelhakim, et al.
Published: (2025)
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
by: Dauner, Daniel, et al.
Published: (2024)
by: Dauner, Daniel, et al.
Published: (2024)
Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles
by: Huang, Ouhan, et al.
Published: (2025)
by: Huang, Ouhan, et al.
Published: (2025)
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
by: Ferrarotti, Laura, et al.
Published: (2023)
by: Ferrarotti, Laura, et al.
Published: (2023)
An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
by: Nagariya, Akhil, et al.
Published: (2020)
by: Nagariya, Akhil, et al.
Published: (2020)
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)
by: Hsin, Junette, et al.
Published: (2023)
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2024)
by: Luo, Yuhao, et al.
Published: (2024)
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models
by: Tatsuoka, Caroline, et al.
Published: (2025)
by: Tatsuoka, Caroline, et al.
Published: (2025)
ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research
by: Lesy, Bavo, et al.
Published: (2025)
by: Lesy, Bavo, et al.
Published: (2025)
Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study
by: Wu, Jiahui, et al.
Published: (2025)
by: Wu, Jiahui, et al.
Published: (2025)
Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems
by: Lee, Julian, et al.
Published: (2024)
by: Lee, Julian, et al.
Published: (2024)
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
Similar Items
-
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
by: Levy, Jacob, et al.
Published: (2024) -
Generalized Information Gathering Under Dynamics Uncertainty
by: Palafox, Fernando, et al.
Published: (2026) -
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
by: Levy, Jacob, et al.
Published: (2026) -
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
by: Levy, Jacob, et al.
Published: (2025) -
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)