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Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts., and . CoRR, (2022)AutoGCN - Towards Generic Human Activity Recognition with Neural Architecture Search., , and . CoRR, (2024)Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence., , , , , , , , and . CBMS, page 204-209. IEEE, (2023)Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning., , and . ACC, page 2683-2690. IEEE, (2022)Shapley values for feature selection: The good, the bad, and the axioms., , and . CoRR, (2021)Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning., , and . CoRR, (2021)Model independent feature attributions: Shapley values that uncover non-linear dependencies., , and . PeerJ Comput. Sci., (2021)Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications., , , , and . Neurocomputing, (2023)Explainability methods for machine learning systems for multimodal medical datasets: research proposal., , , and . MMSys, page 347-351. ACM, (2022)Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization., , , and . CoRR, (2022)