Learning Under Uncertainty
Learning Under Uncertainty is a theoretical framework in the study of learning in experiments that characterizes how agents acquire and update knowledge in dynamic environments where outcomes are probabilistic, feedback is incomplete, or the underlying model of the world is not fully known.
655
Publications
50.4K
Citations
1.4K
Authors
634
Institutions
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2017–2026
179
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655
Learning the value of information in an uncertain world
Timothy E.J. Behrens, Mark W. Woolrich, Mark E. Walton et al. · Nature Neuroscience · 2007 · 2.2K citations
Pathological Outcomes of Observational Learning
Lones Smith · Econometrica · 2000 · 816 citations · Full text
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University College London
London, United Kingdom
20 h-index
67 publications
5.4K citations
University of California, Berkeley
Berkeley, United States
14 h-index
24 publications
1.9K citations
Princeton University
Princeton, United States
13 h-index
20 publications
1.7K citations
Columbia University
New York, United States
13 h-index
24 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
29 publications
1.9K citations
The University of Texas at Austin
Austin, United States
11 h-index
14 publications
424 citations
Purdue University West Lafayette
West Lafayette, United States
11 h-index
14 publications
404 citations
Harvard University
Cambridge, United States
11 h-index
17 publications
1.1K citations
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Repository · 36 publications · 3.5K citations
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Repository · 23 publications · 685 citations
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13 publications · 844 citations
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15 publications · 575 citations
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11 publications · 1.1K citations
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