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In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States

In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States

F. Castañeda
Haruki Nishimura
R. McAllister
Koushil Sreenath
Adrien Gaidon
ArXiv (abs)PDFHTML

Papers citing "In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States"

8 / 8 papers shown
Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo
Kensuke Nakamura
Andrea V. Bajcsy
123
0
0
01 May 2025
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Ihab Tabbara
Hussein Sibai
OffRL
119
0
0
01 May 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu
Tony Nguyen
Emma Dixon
Christopher Rodriguez
Patrick Miller
Robert Lee
Paarth Shah
Rares Andrei Ambrus
Haruki Nishimura
Masha Itkina
OffRL
258
3
0
11 Mar 2025
Learning Ensembles of Vision-based Safety Control Filters
Learning Ensembles of Vision-based Safety Control Filters
Ihab Tabbara
Hussein Sibai
152
3
0
02 Dec 2024
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
Yuxuan Yang
Hussein Sibai
94
2
0
29 Oct 2024
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
Will Lavanakul
Jason J. Choi
Koushil Sreenath
Claire J. Tomlin
104
14
0
07 Feb 2024
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Xiaoyi Cai
Siddharth Ancha
Lakshay Sharma
Philip R. Osteen
Bernadette Bucher
Stephen Phillips
Jiuguang Wang
Michael Everett
Nicholas Roy
Jonathan P. How
EDL
92
36
0
10 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations
State-Wise Safe Reinforcement Learning With Pixel Observations
S. Zhan
Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
120
11
0
03 Nov 2023

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