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

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

Katie Kang
Paula Gradu
Jason J. Choi
Michael Janner
Claire Tomlin
Sergey Levine
ArXivPDFHTML

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

6 / 6 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
56
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
65
0
0
01 May 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
Chan Kim
Seung-Woo Seo
Seong-Woo Kim
OODD
217
0
0
21 Mar 2025
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho
Jonathan P. How
Chuangchuang Sun
OODD
OffRL
46
1
0
06 May 2024
Predictable MDP Abstraction for Unsupervised Model-Based RL
Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park
Sergey Levine
24
9
0
08 Feb 2023
On the Sample Complexity of Stability Constrained Imitation Learning
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu
Alexander Robey
Tingnan Zhang
Nikolai Matni
49
39
0
18 Feb 2021