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2001.09336
Cited By
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty
IEEE Robotics and Automation Letters (RA-L), 2020
25 January 2020
Glen Chou
N. Ozay
Dmitry Berenson
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Papers citing
"Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty"
22 / 22 papers shown
Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
Yuxuan Yang
Hussein Sibai
141
0
0
24 Oct 2025
Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions
Zhouyu Zhang
Chih-Yuan Chiu
Glen Chou
205
1
0
27 Aug 2025
Learning Conservative Neural Control Barrier Functions from Offline Data
Ihab Tabbara
Hussein Sibai
OffRL
450
0
0
01 May 2025
Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations
IEEE Robotics and Automation Letters (RA-L), 2024
Márton Karsai
A. Billard
242
0
0
17 Jan 2025
Safe MPC Alignment with Human Directional Feedback
Zhixian Xie
Wenlong Zhang
Yi Ren
Zhaoran Wang
George J. Pappas
Wanxin Jin
335
3
0
05 Jul 2024
Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Shivam Chaubey
Francesco Verdoja
Ville Kyrki
211
2
0
06 May 2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana
Sirui Li
Cathy Wu
Y. Farid
Kentaro Oguchi
202
4
0
07 Mar 2024
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou
Daniel S. Brown
266
4
0
04 Mar 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
David Lindner
Xin Chen
Sebastian Tschiatschek
Katja Hofmann
Andreas Krause
274
25
0
25 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
Machine-mediated learning (ML), 2023
Mattijs Baert
Pietro Mazzaglia
Sam Leroux
Pieter Simoens
CML
284
11
0
04 May 2023
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization
IEEE Conference on Decision and Control (CDC), 2023
D. Papadimitriou
Jingqi Li
275
5
0
06 Apr 2023
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jiayi Pan
Glen Chou
Dmitry Berenson
352
54
0
09 Mar 2023
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
Glen Chou
Hao Wang
Dmitry Berenson
230
13
0
08 Dec 2021
Automated Controller Calibration by Kalman Filtering
IEEE Transactions on Control Systems Technology (IEEE TCST), 2021
Marcel Menner
K. Berntorp
Stefano Di Cairano
314
19
0
21 Nov 2021
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Kaylene C. Stocking
D. L. McPherson
R. Matthew
Claire Tomlin
208
4
0
10 Sep 2021
Inverse Constrained Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Usman Anwar
Shehryar Malik
Alireza Aghasi
Ali Ahmed
512
72
0
19 Nov 2020
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
IEEE International Conference on Robotics and Automation (ICRA), 2020
F. Laine
David Fridovich-Keil
Chih-Yuan Chiu
Claire Tomlin
241
30
0
11 Nov 2020
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Glen Chou
N. Ozay
Dmitry Berenson
238
18
0
09 Nov 2020
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
Glen Chou
N. Ozay
Dmitry Berenson
177
28
0
03 Jun 2020
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations
Craig Knuth
Glen Chou
N. Ozay
Dmitry Berenson
182
3
0
11 May 2020
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
Marcel Menner
Melanie Zeilinger
128
19
0
06 May 2020
Learning Constraints from Demonstrations
Glen Chou
Dmitry Berenson
N. Ozay
328
22
0
17 Dec 2018
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