Fixed-point Characterization
Fixed-Point Characterization is a theoretical framework in dynamic programming and reinforcement learning that identifies the Bellman equations as a contraction mapping whose unique fixed point corresponds to the optimal value function.
539
Publications
24.6K
Citations
968
Authors
615
Institutions
Publications per year
2017–2026
106
Parents
539
Pathological Outcomes of Observational Learning
Lones Smith · Econometrica · 2000 · 816 citations · Full text
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Atilim University
Ankara, Türkiye
14 h-index
20 publications
674 citations

King Abdulaziz University
Jeddah, Saudi Arabia
13 h-index
25 publications
908 citations

King Saud University
Riyadh, Saudi Arabia
11 h-index
13 publications
312 citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
15 publications
398 citations

China Medical University
Taichung, Taiwan
11 h-index
14 publications
392 citations

University of the Basque Country
Leioa, Spain
9 h-index
11 publications
298 citations
China Medical University Hospital
Taichung, Taiwan
7 h-index
7 publications
187 citations
Université Paris Cité
Paris, France
7 h-index
9 publications
380 citations
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PROC · 17 publications · 1.3K citations
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18 publications · 603 citations
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9 publications · 508 citations
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10 publications · 273 citations
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7 publications · 245 citations
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