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2006.02411
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Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
3 June 2020
Glen Chou
N. Ozay
Dmitry Berenson
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Papers citing
"Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations"
13 / 13 papers shown
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: Learning Automata from Examples using Natural Language Oracles
Marcell Vazquez-Chanlatte
Karim Elmaaroufi
Stefan J. Witwicki
S. Seshia
19
4
0
10 Feb 2024
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle
Nikos Arechiga
Andrew Best
Jonathan A. DeCastro
N. Ozay
24
5
0
30 Oct 2023
Pointwise-in-Time Explanation for Linear Temporal Logic Rules
Noel Brindise
Cédric Langbort
19
1
0
24 Jun 2023
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
Jiayi Pan
Glen Chou
Dmitry Berenson
26
35
0
09 Mar 2023
Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation
Bo Fu
W. Smith
Denise M. Rizzo
Matthew Castanier
Maani Ghaffari
Kira Barton
19
4
0
07 Nov 2022
Learning Interpretable Temporal Properties from Positive Examples Only
Rajarshi Roy
Jean-Raphael Gaglione
Nasim Baharisangari
Daniel Neider
Zhe Xu
Ufuk Topcu
AI4TS
AI4CE
19
13
0
06 Sep 2022
Demonstration Informed Specification Search
Marcell Vazquez-Chanlatte
Ameesh Shah
Gil Lederman
S. Seshia
28
3
0
20 Dec 2021
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
Glen Chou
Hao Wang
Dmitry Berenson
12
10
0
08 Dec 2021
Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logic
Ritam Raha
Rajarshi Roy
Nathanaël Fijalkow
Daniel Neider
33
22
0
13 Oct 2021
Temporal and Object Quantification Networks
Jiayuan Mao
Zhezheng Luo
Chuang Gan
J. Tenenbaum
Jiajun Wu
L. Kaelbling
T. Ullman
NAI
30
3
0
10 Jun 2021
Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions
Wil Thomason
H. Kress-Gazit
19
3
0
13 May 2021
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
Tianyu Wang
Nikolay Atanasov
22
0
0
10 Mar 2021
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Glen Chou
N. Ozay
Dmitry Berenson
26
15
0
09 Nov 2020
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