Value Function Estimation
Value Function Estimation is a computational method in preference modeling that quantifies the relative desirability of alternatives by assigning scalar values to outcomes based on observed preferences, thereby enabling the prediction and optimization of decision-making behavior.
566
Publications
45.4K
Citations
1.2K
Authors
501
Institutions
Publications per year
2017–2026
158
Parents
566
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text
Curvature of the Probability Weighting Function
G. Y. Wu, Richard Gonzalez · Management Science · 1996 · 1K citations
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501
Massachusetts Institute of Technology
Cambridge, United States
16 h-index
46 publications
4.1K citations
Stanford University
Stanford, United States
15 h-index
27 publications
4.5K citations
University of California, Berkeley
Berkeley, United States
12 h-index
23 publications
9.9K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
18 publications
758 citations

University of Alberta
Edmonton, Canada
12 h-index
33 publications
1.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
12 h-index
20 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
15 publications
516 citations
Columbia University
New York, United States
10 h-index
11 publications
495 citations
1–8 of 501
Repository · 51 publications · 9.4K citations
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14 publications · 595 citations
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11 publications · 1.7K citations
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Conference · 12 publications · 772 citations
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8 publications · 1K citations
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