Linear Function Approximation is a function approximation method in which the value function is represented as a linear combination of a fixed set of basis functions over the state or state-action space.
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2.2K
Authors
837
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Publications per year
2017–2026
199
Parents
Publications
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Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr, Alexey Kurakin, Nicolas Papernot et al. · arXiv (Cornell University) · 2017 · 1.1K citations · Full text
Blind Image Deblurring Using Dark Channel Prior
Jinshan Pan, Deqing Sun, Hanspeter Pfister et al. · 2016 · 815 citations
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1–5 of 2.2K
Institutions
837
University of Alberta
Edmonton, Canada
16 h-index
46 publications
5.9K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
29 publications
4K citations
Stanford University
Stanford, United States
15 h-index
35 publications
5.5K citations
Princeton University
Princeton, United States
13 h-index
19 publications
845 citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
24 publications
934 citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
25 publications
830 citations
Technion – Israel Institute of Technology
Haifa, Israel
11 h-index
17 publications
422 citations
McGill University
Montreal, Canada
10 h-index
15 publications
1.7K citations
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Venues
- arXiv (Cornell University)
Repository · 60 publications · 3K citations
25
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- Journal of Approximation Theory
17 publications · 502 citations
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- SIAM Journal on Numerical Analysis
12 publications · 936 citations
11
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- Mathematics of Computation
MCOM · 9 publications · 235 citations
9
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 8 publications · 465 citations
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