Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
Research output: Contribution to journal › Conference article › peer-review
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Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement. / Feith, Nikolaus; Rückert, Elmar.
In: IEEE International Conference on Ubiquitous Robots, 01.03.2024.
In: IEEE International Conference on Ubiquitous Robots, 01.03.2024.
Research output: Contribution to journal › Conference article › peer-review
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Bibtex - Download
@article{ab44e9a1b17440419f80d352d97072a5,
title = "Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement",
keywords = "Interactive Learning, Reinforcement Learning",
author = "Nikolaus Feith and Elmar R{\"u}ckert",
year = "2024",
month = mar,
day = "1",
language = "English",
journal = "IEEE International Conference on Ubiquitous Robots",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
AU - Feith, Nikolaus
AU - Rückert, Elmar
PY - 2024/3/1
Y1 - 2024/3/1
KW - Interactive Learning
KW - Reinforcement Learning
M3 - Conference article
JO - IEEE International Conference on Ubiquitous Robots
JF - IEEE International Conference on Ubiquitous Robots
ER -
