Uncertainty-aware Exploration
Uncertainty-Aware Exploration is an interactive data exploration framework that explicitly integrates quantified uncertainty into the visual and computational components of the exploration process to guide user decisions and improve interpretation accuracy.
36
Publications
3.5K
Citations
197
Authors
56
Institutions
Publications per year
2017–2026
22
Parents
36
Rostrolateral Prefrontal Cortex and Individual Differences in Uncertainty-Driven Exploration
David Badre, Bradley B. Doll, Nicole M. Long et al. · Neuron · 2012 · 343 citations · Full text
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski et al. · arXiv (Cornell University) · 2016 · 247 citations · Full text
1–5 of 36
197
5
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 197
56

University of Tübingen
Tübingen, Germany
4 h-index
4 publications
228 citations
Max Planck Institute for Human Development
Berlin, Germany
4 h-index
8 publications
496 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
4 h-index
4 publications
228 citations
University College London
London, United Kingdom
3 h-index
3 publications
213 citations

McGill University
Montreal, Canada
3 h-index
6 publications
650 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
240 citations
The Ohio State University
Columbus, United States
3 h-index
7 publications
223 citations
University of Nevada, Reno
Reno, United States
2 h-index
8 publications
864 citations
1–8 of 56
Repository · 3 publications · 372 citations
3
h-index
2 publications · 29 citations
2
h-index
2 publications · 193 citations
2
h-index
TPAMI · 2 publications · 416 citations
2
h-index
1 publications · 15 citations
1
h-index
1–5