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Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations.

, , , , , , , and . CASE, page 827-834. IEEE, (2016)

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Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning., , and . CoRR, (2019)Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations., , , , , , , and . CASE, page 827-834. IEEE, (2016)Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations., , , , , , , and . CoRR, (2016)Learning Action-based Representations Using Invariance., , , , , and . CoRR, (2024)Statistical data cleaning for deep learning of automation tasks from demonstrations., , , , , and . CASE, page 1142-1149. IEEE, (2017)Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations., , , , , , , and . ICRA, page 358-365. IEEE, (2017)Granger-Causal Hierarchical Skill Discovery., , , , and . CoRR, (2023)ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory., , , and . ICRA, page 13670-13677. IEEE, (2021)Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning., , and . IROS, page 5572-5579. IEEE, (2020)