EXPLAINING A DEEP REINFORCEMENT LEARNING DOCKING AGENT USING LINEAR MODEL TREES WITH USER ADAPTED VISUALIZATION

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization

Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature.Explainable artificial intelligence methods attempt to understand how such black-boxes make their decisions.In this work, linear model trees (LMTs) are used to approximate the DNN controlling an autonomous surf

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Surgical Site Infections with MRSA in young Patients

Introduction: Surgical site infections (SSIs) pose a global health concern.While various pathogenic microorganisms can cause SSIs, a predominant causative agent is Staphylococcus aureus, particularly its methicillin-resistant strain (MRSA).MRSA, known for its resistance to multiple antibiotics, significantly complicates treatment options, leading t

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Underexplored and growing economic costs of invasive alien trees

Abstract The high ecological impacts of many invasive alien trees have been well documented.However, to date, we lacked synthesis of their economic impacts, hampering management actions.Here, we summarize the cost records of invasive trees to (I) identify invasive trees with cost information and their geographic locations, (II) investigate the type

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