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

14 citations · 14 across the 1 of their papers we have counts for

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cs.RO2022★ 14 cited

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

Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos +1

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 met…