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

Adrien Gaidon

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

7 / 7 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 65 0 0 01 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 54 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 "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 78 2 0 11 Mar 2025
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 38 10 0 03 Nov 2023
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraints Hongkai Dai Frank Permenter 21 36 0 02 Oct 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 114 172 0 14 Sep 2021
Control Design along Trajectories with Sums of Squares Programming Anirudha Majumdar Amir Ali Ahmadi Russ Tedrake 102 139 0 02 Oct 2012