Measurement Maximizing Adaptive Sampling with Risk Bounding Functions

Measurement Maximizing Adaptive Sampling with Risk Bounding Functions

© 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. In autonomous exploration a mobile agent must adapt to new measurements to seek high reward, but disturbances cause a probability of collision that must be traded off against expected reward. This...

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Bibliographic Details
Main Authors: Ayton, Benjamin James, Williams, Brian C, Camilli, Richard
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence (AAAI) 2021
Online Access:https://hdl.handle.net/1721.1/137367

Internet

https://hdl.handle.net/1721.1/137367

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