Task Learning From Demonstration
Task Learning From Demonstration is a subfield of Learning From Demonstration that focuses on acquiring task-specific knowledge or representations through expert demonstrations, distinguishing itself by emphasizing the structure, decomposition, and generalization of discrete tasks rather than generic motor or policy learning.
336
Publications
16.5K
Citations
940
Authors
260
Institutions
Publications per year
2017–2026
158
Parents
336
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman et al. · 2022 · 644 citations · Full text
Natural methods for robot task learning
Monica Nicolescu, Maja J. Matarić · 2003 · 344 citations
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie et al. · Neural Information Processing Systems · 2017 · 279 citations
1–5 of 336
940
12
h-index
10
h-index
10
h-index
9
h-index
9
h-index
1–5 of 940
260
Carnegie Mellon University
Pittsburgh, United States
15 h-index
35 publications
2.1K citations
The University of Texas at Austin
Austin, United States
12 h-index
31 publications
976 citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
37 publications
2.4K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
38 publications
4K citations
Stanford University
Stanford, United States
12 h-index
31 publications
2.3K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
24 publications
2.4K citations
Google (United States)
Mountain View, United States
11 h-index
26 publications
1.5K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
11 h-index
33 publications
2.1K citations
1–8 of 260
Repository · 31 publications · 1.2K citations
20
h-index
12 publications · 290 citations
12
h-index
Conference · 8 publications · 225 citations
8
h-index
4 publications · 295 citations
4
h-index
4 publications · 528 citations
4
h-index
1–5