Uncertainty-aware Robot Learning
Uncertainty-Aware Robot Learning is a robot learning framework that explicitly incorporates uncertainty estimation and propagation within the learning process to enable safe and adaptive decision-making under epistemic and aleatoric uncertainty.
43
Publications
2.4K
Citations
136
Authors
57
Institutions
Publications per year
2017–2026
22
Parents
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Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Gregory Kahn, Adam Villaflor, Vitchyr H. Pong et al. · arXiv (Cornell University) · 2017 · 227 citations · Full text
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Massachusetts Institute of Technology, United States
2 publications · 106 citations
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
330 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
321 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
16 publications
1.2K citations

McGill University
Montreal, Canada
3 h-index
7 publications
148 citations
Tufts University
Medford, United States
2 h-index
3 publications
73 citations

University of Toronto
Toronto, Canada
2 h-index
9 publications
4.7K citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
181 citations

Italian Institute of Technology
Genoa, Italy
1 h-index
3 publications
93 citations
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Repository · 6 publications · 413 citations
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2 publications · 36 citations
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2 publications · 26 citations
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2 publications · 359 citations
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Conference · 1 publications · 22 citations
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