Policy Convergence Analysis
Policy Convergence Analysis is a formal method in reinforcement learning that systematically evaluates the conditions and rate under which iterative policy improvement processes converge to an optimal or stationary policy within the framework of dynamic programming.
377
Publications
33.2K
Citations
697
Authors
335
Institutions
Publications per year
2017–2026
117
Parents
377
Globalization and Policy Convergence
Daniel W. Drezner · International Studies Review · 2001 · 686 citations
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University of Konstanz
Konstanz, Germany
9 h-index
14 publications
3.3K citations
Princeton University
Princeton, United States
8 h-index
9 publications
765 citations

University of Alberta
Edmonton, Canada
8 h-index
19 publications
873 citations
Technion – Israel Institute of Technology
Haifa, Israel
7 h-index
16 publications
576 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
16 publications
1.2K citations
Columbia University
New York, United States
7 h-index
10 publications
824 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
10 publications
1.9K citations

University of British Columbia
Vancouver, Canada
6 h-index
8 publications
922 citations
1–8 of 335
Repository · 40 publications · 1.5K citations
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JEPP · 13 publications · 2.1K citations
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8 publications · 485 citations
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7 publications · 359 citations
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8 publications · 503 citations
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