Abstract:The coupling of reinforcement learning (RL) and deep neural networks (DNN) has demonstrated promising results in many task-oriented scenarios, including radiological source localization. However, these black box approaches present an issue from the user's perspectivethe non-interpretably of results both during and after task completion. In this work, an RL-based convolutional neural network (CNN) for single-detector, radiological source localization is augmented with a system-feedback strategy which provides u… Show more
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