Optimizing Algorithms from Pairwise User Preferences

Typical black-box optimization approaches in robotics focus on learning from metric scores. However, that is not always possible, as not all developers have ground truth available. Learning appropriate robot behavior in human-centric contexts often requires querying users, who typically cannot provi...

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Vydané v:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems s. 4161 - 4167
Hlavní autori:	Keselman, Leonid, Shih, Katherine, Hebert, Martial, Steinfeld, Aaron
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2023
Predmet:	Behavioral sciences Closed box Measurement Navigation Robot sensing systems Robustness Tuning
ISSN:	2153-0866
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