Offline Imitation Learning
Offline Imitation Learning is a method in imitation learning that leverages a fixed, pre-collected dataset of expert demonstrations to train a policy without requiring further interaction with the environment.
24
Publications
1.1K
Citations
114
Authors
38
Institutions
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2017–2026
22
Parents
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Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen et al. · 2023 · 100 citations
Neural probabilistic motor primitives for humanoid control
Josh Merel, Leonard Hasenclever, Alexandre Galashov et al. · arXiv (Cornell University) · 2018 · 90 citations · Full text
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University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
146 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
69 citations
Google (United States)
Mountain View, United States
2 h-index
5 publications
203 citations
Afterschool Alliance
Washington D.C., United States
1 h-index
1 publications
41 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
138 citations
Stanford University
Stanford, United States
1 h-index
1 publications
17 citations
Stanford Medicine
Stanford, United States
1 h-index
3 publications
117 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
36 citations
1–8 of 38
Repository · 5 publications · 174 citations
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1 publications · 61 citations
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TMCCI · 1 publications · 54 citations
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1 publications · 55 citations
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JAIS · 1 publications · 16 citations
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