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

27 January 2023

Haruki Nishimura

Koushil Sreenath

Adrien Gaidon

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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 Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 123 0 0 01 May 2025
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 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 Ihab Tabbara Hussein Sibai 152 3 0 02 Dec 2024
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 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 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 S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 120 11 0 03 Nov 2023