Data-driven prediction of EVAR with confidence in time-varying datasets

The key challenge for learning-based autonomous systems operating in time-varying environments is to predict when the learned model may lose relevance. If the learned model loses relevance, then the autonomous system is at risk of making wrong decisions. The entropic value at risk (EVAR) is a comput...

Full description

Bibliographic Details
Main Authors: Axelrod, Allan (Author), Carlone, Luca (Contributor), Chowdhary, Girish (Author), Karaman, Sertac (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-04-23T13:57:23Z.
Subjects:
Online Access:Get fulltext