Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals
Fuente:
arXiv
Saved in:
| Main Authors: | Delecki, Harrison, Katz, Sydney M., Kochenderfer, Mykel J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
by: Kruse, Liam A., et al.
Published: (2025)
by: Kruse, Liam A., et al.
Published: (2025)
Diffusion Models for Safety Validation of Autonomous Driving Systems
by: Wang, Juanran, et al.
Published: (2025)
by: Wang, Juanran, et al.
Published: (2025)
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
by: Delecki, Harrison, et al.
Published: (2024)
by: Delecki, Harrison, et al.
Published: (2024)
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals
by: Kruse, Liam A., et al.
Published: (2025)
by: Kruse, Liam A., et al.
Published: (2025)
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
by: Moss, Robert J., et al.
Published: (2023)
by: Moss, Robert J., et al.
Published: (2023)
Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers
by: Wang, Juanran, et al.
Published: (2025)
by: Wang, Juanran, et al.
Published: (2025)
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
by: Arief, Mansur, et al.
Published: (2024)
by: Arief, Mansur, et al.
Published: (2024)
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
by: Yildiz, Anil, et al.
Published: (2025)
by: Yildiz, Anil, et al.
Published: (2025)
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization
by: Chaubard, Francois, et al.
Published: (2025)
by: Chaubard, Francois, et al.
Published: (2025)
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
by: Brown, Kyle, et al.
Published: (2023)
by: Brown, Kyle, et al.
Published: (2023)
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
by: Ott, Joshua, et al.
Published: (2022)
by: Ott, Joshua, et al.
Published: (2022)
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
by: Chen, Shirui, et al.
Published: (2026)
by: Chen, Shirui, et al.
Published: (2026)
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
by: Katz, Sydney M., et al.
Published: (2025)
by: Katz, Sydney M., et al.
Published: (2025)
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023)
by: Sharifi, Iman, et al.
Published: (2023)
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning
by: Arasteh, Fazel, et al.
Published: (2024)
by: Arasteh, Fazel, et al.
Published: (2024)
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering
by: Chaubard, Francois, et al.
Published: (2024)
by: Chaubard, Francois, et al.
Published: (2024)
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
by: Dagdanov, Resul, et al.
Published: (2022)
by: Dagdanov, Resul, et al.
Published: (2022)
Constrained Hierarchical Monte Carlo Belief-State Planning
by: Jamgochian, Arec, et al.
Published: (2023)
by: Jamgochian, Arec, et al.
Published: (2023)
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
by: Giacomuzzos, Giulio, et al.
Published: (2023)
by: Giacomuzzos, Giulio, et al.
Published: (2023)
RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
by: Bosio, Carlo, et al.
Published: (2025)
by: Bosio, Carlo, et al.
Published: (2025)
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
by: Li, Jiachen, et al.
Published: (2024)
by: Li, Jiachen, et al.
Published: (2024)
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour
by: Harrison, Emma M. A.
Published: (2025)
by: Harrison, Emma M. A.
Published: (2025)
Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
by: Hunter, Devin, et al.
Published: (2025)
by: Hunter, Devin, et al.
Published: (2025)
HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions
by: Yu, Hang, et al.
Published: (2025)
by: Yu, Hang, et al.
Published: (2025)
Revealing Interpretable Failure Modes of VLMs
by: Chaudhary, Isha, et al.
Published: (2026)
by: Chaudhary, Isha, et al.
Published: (2026)
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
by: Lange, Bernard, et al.
Published: (2023)
by: Lange, Bernard, et al.
Published: (2023)
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
by: Robertshaw, Harry, et al.
Published: (2024)
by: Robertshaw, Harry, et al.
Published: (2024)
Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)
by: Dax, Victoria M., et al.
Published: (2024)
ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers
by: Chen, Liangliang, et al.
Published: (2024)
by: Chen, Liangliang, et al.
Published: (2024)
Denoising Particle Filters: Learning State Estimation with Single-Step Objectives
by: Röstel, Lennart, et al.
Published: (2026)
by: Röstel, Lennart, et al.
Published: (2026)
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
by: Gupta, Piyush, et al.
Published: (2024)
by: Gupta, Piyush, et al.
Published: (2024)
Foundational World Models Accurately Detect Bimanual Manipulator Failures
by: Ward, Isaac R., et al.
Published: (2026)
by: Ward, Isaac R., et al.
Published: (2026)
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
by: Rana, Krishan, et al.
Published: (2025)
by: Rana, Krishan, et al.
Published: (2025)
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)
by: Tang, Zuojin, et al.
Published: (2024)
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
by: Ahmad, H. M. Sabbir, et al.
Published: (2025)
by: Ahmad, H. M. Sabbir, et al.
Published: (2025)
Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
by: Lee, Seokju, et al.
Published: (2026)
by: Lee, Seokju, et al.
Published: (2026)
Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
by: Mazza, Lorenzo, et al.
Published: (2026)
by: Mazza, Lorenzo, et al.
Published: (2026)
Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
by: Zhang, Yunuo, et al.
Published: (2025)
by: Zhang, Yunuo, et al.
Published: (2025)
Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planning
by: Kim, Grace Ra, et al.
Published: (2025)
by: Kim, Grace Ra, et al.
Published: (2025)
Similar Items
-
Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
by: Kruse, Liam A., et al.
Published: (2025) -
Diffusion Models for Safety Validation of Autonomous Driving Systems
by: Wang, Juanran, et al.
Published: (2025) -
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
by: Delecki, Harrison, et al.
Published: (2024) -
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals
by: Kruse, Liam A., et al.
Published: (2025) -
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
by: Moss, Robert J., et al.
Published: (2023)