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Modelling Human Active Search in Optimizing Black-box Functions

Modelling Human Active Search in Optimizing Black-box Functions

9 March 2020
Antonio Candelieri
R. Perego
I. Giordani
Andrea Ponti
Francesco Archetti
ArXiv (abs)PDFHTML

Papers citing "Modelling Human Active Search in Optimizing Black-box Functions"

4 / 4 papers shown
Title
Gamifying optimization: a Wasserstein distance-based analysis of human
  search
Gamifying optimization: a Wasserstein distance-based analysis of human search
Antonio Candelieri
Andrea Ponti
Francesco Archetti
39
0
0
12 Dec 2021
Inverse Bayesian Optimization: Learning Human Acquisition Functions in
  an Exploration vs Exploitation Search Task
Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task
N. Sandholtz
Yohsuke R. Miyamoto
L. Bornn
Maurice A. Smith
145
8
0
16 Apr 2021
Uncertainty quantification and exploration-exploitation trade-off in
  humans
Uncertainty quantification and exploration-exploitation trade-off in humans
Antonio Candelieri
Andrea Ponti
Francesco Archetti
77
4
0
05 Feb 2021
Predicting human decisions with behavioral theories and machine learning
Predicting human decisions with behavioral theories and machine learning
Ori Plonsky
Reut Apel
E. Ert
Moshe Tennenholtz
David D. Bourgin
...
Thomas Griffiths
Stuart J. Russell
Evan C. Carter
J. Cavanagh
Ido Erev
79
44
0
15 Apr 2019
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