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Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
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Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

D. Scobee
S. Shankar Sastry
ArXiv (abs)PDFHTML

Papers citing "Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning"

6 / 6 papers shown
Title
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
93
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
109
3
0
26 Jan 2025
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue
Jian Li
Guiliang Liu
101
3
0
24 Sep 2024
Inferring geometric constraints in human demonstrations
Inferring geometric constraints in human demonstrations
G. Subramani
Michael Zinn
Michael Gleicher
34
24
0
29 Sep 2018
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams
D. L. McPherson
D. Scobee
Joseph Menke
An Yang
S. Shankar Sastry
28
10
0
09 May 2018
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
242
2,404
0
21 Jun 2016

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