Dataset Aggregation
Dataset Aggregation is a method in imitation learning that iteratively expands a training dataset by incorporating new expert demonstrations collected from regions of the state space where the learned policy exhibits behavioral divergence from optimal actions.
121
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8.1K
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596
Authors
310
Institutions
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2017–2026
79
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Parents
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WFDE5: bias-adjusted ERA5 reanalysis data for impact studies
Marco Cucchi, Graham P. Weedon, A. Amici et al. · Earth system science data · 2020 · 512 citations · Full text
Climate classification revisited: from Köppen to Trewartha
Michal Belda, Eva Holtanová, Tomáš Halenka et al. · Climate Research · 2013 · 430 citations · Full text
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University of Virginia
Charlottesville, United States
6 h-index
17 publications
618 citations
Harvard University
Cambridge, United States
5 h-index
22 publications
480 citations
Stanford University
Stanford, United States
5 h-index
9 publications
320 citations

Johns Hopkins University
Baltimore, United States
4 h-index
17 publications
827 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
295 citations
Northeastern University
Boston, United States
3 h-index
3 publications
77 citations
Yale University
New Haven, United States
3 h-index
5 publications
187 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
5 publications
139 citations
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Repository · 5 publications · 89 citations
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3 publications · 211 citations
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Repository · 2 publications · 553 citations
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2 publications · 34 citations
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2 publications · 92 citations
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