State-value Function
The State-Value Function is a value function that belongs to the class of value functions in reinforcement learning and is specifically distinguished by mapping each state in the environment to the expected return achievable by following a given policy from that state onward.
619
Publications
40.3K
Citations
1.5K
Authors
559
Institutions
Publications per year
2017–2026
240
Variants
V-function
619
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text
Strange Attractors, Chaotic Behavior, and Information Flow
Robert Shaw · Zeitschrift für Naturforschung A · 1981 · 801 citations · Full text
Deep Reinforcement Learning: An Overview
Yuxi Li · arXiv (Cornell University) · 2017 · 546 citations · Full text
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559

McGill University
Montreal, Canada
15 h-index
30 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
25 publications
1.1K citations

University of Alberta
Edmonton, Canada
13 h-index
33 publications
2K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
26 publications
1.4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
12 h-index
19 publications
1.7K citations
Stanford University
Stanford, United States
11 h-index
21 publications
1.6K citations
Duke University
Durham, United States
10 h-index
16 publications
1.6K citations
Tsinghua University
Beijing, China
10 h-index
34 publications
845 citations
1–8 of 559
Repository · 68 publications · 11.1K citations
30
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31 publications · 1.8K citations
24
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11 publications · 627 citations
11
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10 publications · 1K citations
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Conference · 13 publications · 790 citations
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