HIGHLIGHTS
- who: Radiological Source Searches and colleagues from the Department of Nuclear, Plasma, and Engineering, University of Illinois Urbana-Champaign, Urbana, IL , USA have published the paper: Investigating the Interpretability of ML-Guided Radiological Source Searches, in the Journal: (JOURNAL)
- what: In this work, an RL convolutional neural_network (CNN) is implemented as a stand-alone algorithm for both detector navigation and RSL (this combination being a primary benefit of ML/RL approaches to RSL). Instead, the primary focus of this work is upon the interpretability of ML solutions. The authors seek to increase the interpretability of . . .
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