Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization

Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization

Safer and more efficient characterization of radioactive environments requires exploring intelligently, utilizing robotic systems which use smart strategies and physics-based statistical models. Bayesian Optimization (BO) provides one such statistical framework to explainably find the global maximum...

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Bibliographic Details
Main Authors: Jeremy Marquardt, Leonard Lucas, Stylianos Chatzidakis
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Journal of Nuclear Engineering
Subjects:
radiation survey
active learning
Bayesian optimization
reinforcement learning
Online Access:https://www.mdpi.com/2673-4362/6/2/10
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