Forward Model Learning is a method in self-supervised robot learning that belongs to the class of predictive modeling techniques, specifically distinguished by its focus on learning to predict the future state of the environment given current actions and observations without requiring external supervision.
157
Publications
10.6K
Citations
490
Authors
225
Institutions
Publications per year
2017–2026
89
Publications
157
Learning for an unknown future
Ronald Barnett · Higher Education Research & Development · 2012 · 625 citations
Learning for an unknown future
Ronald Barnett · Higher Education Research & Development · 2004 · 485 citations
1–5 of 157
Authors
490
- JT
3
h-index
- BS
3
h-index
- PB
3
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- RC
3
h-index
- JT
3
h-index
1–5 of 490
Institutions
225
Johns Hopkins University
Baltimore, United States
8 h-index
18 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
6 h-index
17 publications
2.4K citations
Johns Hopkins Medicine
Baltimore, United States
6 h-index
11 publications
954 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
4 publications
2.3K citations
Yale University
New Haven, United States
4 h-index
8 publications
345 citations
University College London
London, United Kingdom
4 h-index
4 publications
842 citations
Xi'an Jiaotong University
Xi'an, China
3 h-index
8 publications
342 citations
Indian Institute of Science Bangalore
Bengaluru, India
3 h-index
10 publications
263 citations
1–8 of 225
Venues
- arXiv (Cornell University)
Repository · 14 publications · 646 citations
12
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- Journal of Neuroscience
3 publications · 547 citations
3
h-index
- Cognitive Science
3 publications · 1.9K citations
3
h-index
- Journal of Neurophysiology
JN · 3 publications · 154 citations
3
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- Geophysics
3 publications · 169 citations
3
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1–5