Unsupervised Skill Discovery
Unsupervised Skill Discovery is a methodological framework in self-supervised robot learning that autonomously identifies and acquires reusable behavioral primitives from unlabeled environmental interactions without explicit external supervision or task-specific rewards.
16
Publications
487
Citations
50
Authors
19
Institutions
Publications per year
2017–2026
14
16
Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma, Shixiang Gu, Sergey Levine et al. · arXiv (Cornell University) · 2019 · 75 citations · Full text
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19
Google (United States)
Mountain View, United States
5 h-index
18 publications
663 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
169 citations
Seoul National University
Seoul, South Korea
1 h-index
3 publications
51 citations
California University of Pennsylvania
California, United States
1 h-index
1 publications
23 citations

University of Applied Sciences and Arts of Southern Switzerland
Manno, Switzerland
1 h-index
4 publications
208 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
194 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
1 h-index
5 publications
95 citations
Corvallis Environmental Center
Corvallis, United States
1 h-index
6 publications
108 citations
1–8 of 19
Repository · 7 publications · 254 citations
7
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Conference · 1 publications · 65 citations
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1 publications · 17 citations
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Conference · 1 publications · 24 citations
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1 publications · 52 citations
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