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Generalized Feedback Loop for Joint Hand-Object Pose Estimation., , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (8): 1898-1912 (2020)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , and . ICLR, OpenReview.net, (2020)PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1696-1707. PMLR, (2022)Optimizing 1-Nearest Prototype Classifiers., , , , and . CVPR, page 460-467. IEEE Computer Society, (2013)Hands Deep in Deep Learning for Hand Pose Estimation., , and . CoRR, (2015)On Pre-trained Image Features and Synthetic Images for Deep Learning., , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 682-697. Springer, (2018)Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators., , , , , , , , , and 30 other author(s). Robotics: Science and Systems, (2023)Training a Feedback Loop for Hand Pose Estimation., , and . CoRR, (2016)Watch, Try, Learn: Meta-Learning from Demonstrations and Reward., , , , , , , , , and . CoRR, (2019)Multiple Instance Boosting for Face Recognition in Videos., , , and . DAGM-Symposium, volume 6835 of Lecture Notes in Computer Science, page 132-141. Springer, (2011)