Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization von Gjærum, Vilde B., Strümke, Inga, Alsos, Ole Andreas, Lekkas, Anastasios M.

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Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications von Gjærum, Vilde B., Strümke, Inga, Løver, Jakob, Miller, Timothy, Lekkas, Anastasios M.

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Explainable AI methods on a deep reinforcement learning agent for automatic docking von Løver, Jakob, Gjærum, Vilde B., Lekkas, Anastasios M.

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Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs von Gjærum, Vilde B., Strümke, Inga, Lekkas, Anastasios M., Miller, Timothy

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Explainable AI methods on a deep reinforcement learning agent for automatic docking⁎⁎This work was supported by the Research Council of Norway through the EXAIGON project, project... von Løver, Jakob, Gjærum, Vilde B., Lekkas, Anastasios M.

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Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs von Gjærum, Vilde B, Strümke, Inga, Lekkas, Anastasios M, Miller, Tim

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Approximating a deep reinforcement learning docking agent using linear model trees von Gjærum, Vilde B, Rørvik, Ella-Lovise H, Lekkas, Anastasios M

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Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization von Gjærum, Vilde B, Strümke, Inga, Alsos, Ole Andreas, Lekkas, Anastasios M

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Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs von Gjærum, Vilde B, Strümke, Inga, Lekkas, Anastasios M, Miller, Tim

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Approximating a deep reinforcement learning docking agent using linear model trees von Gjærum, Vilde B, Rørvik, Ella-Lovise H, Lekkas, Anastasios M

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