Directed Exploration
Directed Exploration is a decision-making strategy within the exploration-exploitation tradeoff framework that systematically prioritizes information acquisition to reduce uncertainty in expected utility, distinguishing itself from random or undirected exploration by its purposeful selection of actions aimed at improving future decisions.
90
Publications
5.4K
Citations
249
Authors
136
Institutions
Publications per year
2017–2026
46
90
1–5 of 90
249
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h-index
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1–5 of 249
136
University of Arizona
Tucson, United States
13 h-index
25 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
7 publications
310 citations
Neuroscience Institute
Pisa, Italy
4 h-index
8 publications
2.2K citations
Princeton University
Princeton, United States
4 h-index
8 publications
3.4K citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
4 h-index
6 publications
1.1K citations
Max Planck Institute for Human Development
Berlin, Germany
4 h-index
8 publications
703 citations
Missouri University of Science and Technology
Rolla, United States
3 h-index
3 publications
71 citations
University College London
London, United Kingdom
3 h-index
7 publications
519 citations
1–8 of 136
Repository · 6 publications · 115 citations
6
h-index
5 publications · 269 citations
5
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Repository · 3 publications · 170 citations
3
h-index
3 publications · 129 citations
3
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2 publications · 142 citations
2
h-index
1–5