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Discovering Multiple Algorithm Configurations

Published in arXiv (Cornell University) • Mar 13, 2023
NobleIDNI4P70W27R89S08
Authors:
Leonid Keselman
,
Martial Hebert

Abstract

Many practitioners in robotics regularly depend on classic, hand-designed algorithms. Often the performance of these algorithms is tuned across a dataset of annotated examples which represent typical deployment conditions. Automatic tuning of these settings is traditionally known as algorithm config...

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