• DOI:10.4204/EPTCS.319.4
Corpus ID: 220713223

Improving Competence for Reliable Autonomy

@inproceedings{Basich2020ImprovingCF,
  title={Improving Competence for Reliable Autonomy},
  author={Connor Basich and Justin Svegliato and Kyle Hollins Wray and S. Witwicki and S. Zilberstein},
  booktitle={AREA@ECAI},
  year={2020}
}

Connor Basich, Justin Svegliato, +2 authors S. Zilberstein

Published in AREA@ECAI 2020

Computer Science

Given the complexity of real-world, unstructured domains, it is often impossible or impractical to design models that include every feature needed to handle all possible scenarios that an autonomous system may encounter. For an autonomous system to be reliable in such domains, it should have the ability to improve its competence online. In this paper, we propose a method for improving the competence of a system over the course of its deployment. We specifically focus on a class of semi… CONTINUE READING

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