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Compatible natural gradient policy search., , , , и . Mach. Learn., 108 (8-9): 1443-1466 (2019)Learning of Non-Parametric Control Policies with High-Dimensional State Features., , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Deriving and improving CMA-ES with information geometric trust regions., , , , и . GECCO, стр. 657-664. ACM, (2017)Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller., , , , и . ICARSC, стр. 17-22. IEEE, (2015)Sample-based informationl-theoretic stochastic optimal control., , , и . ICRA, стр. 3896-3902. IEEE, (2014)Learning complex motions by sequencing simpler motion templates., , и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 753-760. ACM, (2009)A probabilistic approach to robot trajectory generation., , и . Humanoids, стр. 477-483. IEEE, (2013)Reinforcement Learning from Multiple Sensors via Joint Representations., , , и . CoRR, (2023)Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning., , , и . ICRA, стр. 1513-1519. IEEE, (2022)Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation., , , , и . RO-MAN, стр. 565-572. IEEE, (2021)