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1909.05477
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Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2019
12 September 2019
D. Scobee
S. Shankar Sastry
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Papers citing
"Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning"
36 / 36 papers shown
Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
Yuxuan Yang
Hussein Sibai
145
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0
24 Oct 2025
ILCL: Inverse Logic-Constraint Learning from Temporally Constrained Demonstrations
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Minwoo Cho
Jaehwi Jang
Daehyung Park
282
1
0
15 Jul 2025
Learning Conservative Neural Control Barrier Functions from Offline Data
Ihab Tabbara
Hussein Sibai
OffRL
451
0
0
01 May 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo
Seung-Woo Seo
433
0
0
30 Jan 2025
Your Learned Constraint is Secretly a Backward Reachable Tube
Mohamad Qadri
Gokul Swamy
Jonathan Francis
Michael Kaess
Andrea Bajcsy
596
5
0
26 Jan 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
255
0
0
17 Jan 2025
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Nan Fang
Guiliang Liu
Wei Gong
OffRL
356
5
0
10 Oct 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue
Jian Li
Guiliang Liu
485
3
0
24 Sep 2024
Safe MPC Alignment with Human Directional Feedback
Zhixian Xie
Wenlong Zhang
Yi Ren
Zhaoran Wang
George J. Pappas
Wanxin Jin
344
3
0
05 Jul 2024
Confidence Aware Inverse Constrained Reinforcement Learning
Sriram Ganapathi Subramanian
Guiliang Liu
Mohammed Elmahgiubi
Kasra Rezaee
Pascal Poupart
235
5
0
24 Jun 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
Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou
Daniel S. Brown
270
4
0
04 Mar 2024
Learning Safety Constraints From Demonstration Using One-Class Decision Trees
Mattijs Baert
Sam Leroux
Pieter Simoens
135
1
0
14 Dec 2023
Learning Shared Safety Constraints from Multi-task Demonstrations
Neural Information Processing Systems (NeurIPS), 2023
Konwoo Kim
Gokul Swamy
Zuxin Liu
Ding Zhao
Sanjiban Choudhury
Zhiwei Steven Wu
300
25
0
01 Sep 2023
Bayesian Inverse Transition Learning for Offline Settings
Leo Benac
S. Parbhoo
Finale Doshi-Velez
OffRL
161
0
0
09 Aug 2023
Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
IEEE Robotics and Automation Letters (RA-L), 2023
Jaehwi Jang
Minjae Song
Daehyung Park
310
0
0
21 Jun 2023
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
Inverse Reinforcement Learning With Constraint Recovery
Pattern Recognition and Machine Intelligence (PRMI), 2023
Nirjhar Das
Arpan Chattopadhyay
186
2
0
14 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
Machine-mediated learning (ML), 2023
Mattijs Baert
Pietro Mazzaglia
Sam Leroux
Pieter Simoens
CML
287
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
280
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
361
55
0
09 Mar 2023
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ryan K. Cosner
Yuxiao Chen
Karen Leung
Marco Pavone
256
15
0
06 Mar 2023
Sustainable Online Reinforcement Learning for Auto-bidding
Neural Information Processing Systems (NeurIPS), 2022
Zhiyu Mou
Yusen Huo
Rongquan Bai
Mingzhou Xie
Chuan Yu
Jian Xu
Bo Zheng
OffRL
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338
34
0
13 Oct 2022
Negative Human Rights as a Basis for Long-term AI Safety and Regulation
Journal of Artificial Intelligence Research (JAIR), 2022
Ondrej Bajgar
Jan Horenovsky
FaML
355
13
0
31 Aug 2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Guiliang Liu
Yudong Luo
A. Gaurav
K. Rezaee
Pascal Poupart
498
27
0
20 Jun 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Fan Ding
Yeiang Xue
163
7
0
22 Mar 2022
Learning Behavioral Soft Constraints from Demonstrations
Arie Glazier
Andrea Loreggia
N. Mattei
Taher Rahgooy
F. Rossi
Brent Venable
191
7
0
21 Feb 2022
Inferring Lexicographically-Ordered Rewards from Preferences
AAAI Conference on Artificial Intelligence (AAAI), 2022
Alihan Huyuk
W. Zame
M. Schaar
317
6
0
21 Feb 2022
How To Not Drive: Learning Driving Constraints from Demonstration
K. Rezaee
Peyman Yadmellat
266
3
0
01 Oct 2021
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Arie Glazier
Andrea Loreggia
Nicholas Mattei
Taher Rahgooy
F. Rossi
Kristen Brent Venable
290
9
0
22 Sep 2021
Discretizing Dynamics for Maximum Likelihood Constraint Inference
Kaylene C. Stocking
D. L. McPherson
R. Matthew
Claire Tomlin
210
4
0
10 Sep 2021
Maximum Likelihood Constraint Inference from Stochastic Demonstrations
Conference on Control Technology and Applications (CCTA), 2021
D. L. McPherson
Kaylene C. Stocking
S. Shankar Sastry
208
27
0
24 Feb 2021
Inverse Constrained Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Usman Anwar
Shehryar Malik
Alireza Aghasi
Ali Ahmed
521
72
0
19 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
IEEE International Conference on Robotics and Automation (ICRA), 2020
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
S. Schaal
417
48
0
17 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
253
30
0
11 Nov 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Neural Information Processing Systems (NeurIPS), 2019
Saurabh Daptardar
Paul Schrater
Xaq Pitkow
304
42
0
13 Aug 2019
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