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Learning Shared Safety Constraints from Multi-task Demonstrations

Learning Shared Safety Constraints from Multi-task Demonstrations

1 September 2023
Konwoo Kim
Gokul Swamy
Zuxin Liu
Ding Zhao
Sanjiban Choudhury
Zhiwei Steven Wu
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Papers citing "Learning Shared Safety Constraints from Multi-task Demonstrations"

9 / 9 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
54
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
38
0
0
30 Jan 2025
Your Learned Constraint is Secretly a Backward Reachable Tube
Mohamad Qadri
Gokul Swamy
Jonathan Francis
Michael Kaess
Andrea Bajcsy
29
2
0
28 Jan 2025
Safe MPC Alignment with Human Directional Feedback
Safe MPC Alignment with Human Directional Feedback
Zhixian Xie
Wenlong Zhang
Yi Ren
Zhaoran Wang
George J. Pappas
Wanxin Jin
32
0
0
05 Jul 2024
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
27
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
8
0
0
17 Feb 2024
Hybrid Inverse Reinforcement Learning
Hybrid Inverse Reinforcement Learning
Juntao Ren
Gokul Swamy
Zhiwei Steven Wu
J. Andrew Bagnell
Sanjiban Choudhury
23
18
0
13 Feb 2024
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
59
45
0
16 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
99
231
0
20 May 2022
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