Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control

21 June 2022

Papers citing "Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control"

5 / 5 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 124 0 0 01 May 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 457 0 0 21 Mar 2025
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows Minjae Cho Jonathan P. How Chuangchuang Sun OODD OffRL 100 1 0 06 May 2024
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States F. Castañeda Haruki Nishimura R. McAllister Koushil Sreenath Adrien Gaidon OffRL 115 16 0 27 Jan 2023
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraints Hongkai Dai Frank Permenter 135 38 0 02 Oct 2022