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Learning Safety Constraints from Demonstrations with Unknown Rewards

Learning Safety Constraints from Demonstrations with Unknown Rewards

25 May 2023
David Lindner
Xin Chen
Sebastian Tschiatschek
Katja Hofmann
Andreas Krause
ArXivPDFHTML

Papers citing "Learning Safety Constraints from Demonstrations with Unknown Rewards"

10 / 10 papers shown
Title
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
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo
Seung-Woo Seo
50
0
0
30 Jan 2025
Your Learned Constraint is Secretly a Backward Reachable Tube
Your Learned Constraint is Secretly a Backward Reachable Tube
Mohamad Qadri
Gokul Swamy
Jonathan Francis
Michael Kaess
Andrea Bajcsy
31
3
0
26 Jan 2025
Bayesian Constraint Inference from User Demonstrations Based on
  Margin-Respecting Preference Models
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou
Daniel S. Brown
48
1
0
04 Mar 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Neta Glazer
Aviv Navon
Aviv Shamsian
Ethan Fetaya
27
0
0
17 Feb 2024
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
Mattijs Baert
Pietro Mazzaglia
Sam Leroux
Pieter Simoens
CML
37
10
0
04 May 2023
How To Not Drive: Learning Driving Constraints from Demonstration
How To Not Drive: Learning Driving Constraints from Demonstration
K. Rezaee
Peyman Yadmellat
31
3
0
01 Oct 2021
Making Human-Like Trade-offs in Constrained Environments by Learning
  from Demonstrations
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Arie Glazier
Andrea Loreggia
Nicholas Mattei
Taher Rahgooy
F. Rossi
K. Venable
21
8
0
22 Sep 2021
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Kaylene C. Stocking
D. L. McPherson
R. Matthew
Claire Tomlin
28
3
0
10 Sep 2021
Reward (Mis)design for Autonomous Driving
Reward (Mis)design for Autonomous Driving
W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
83
113
0
28 Apr 2021
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