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Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

, , , and . J. Aerospace Inf. Sys., 11 (9): 579-595 (2014)

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Model-Free Preference-Based Reinforcement Learning., , and . AAAI, page 2222-2228. AAAI Press, (2016)Model-Based Relative Entropy Stochastic Search., , , , , and . NIPS, page 3537-3545. (2015)Towards Robot Skill Learning: From Simple Skills to Table Tennis., , , , and . ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 627-631. Springer, (2013)Learning Robust Policies for Object Manipulation with Robot Swarms., , , and . ICRA, page 7688-7695. IEEE, (2018)Regularizing Reinforcement Learning with State Abstraction., , , and . IROS, page 534-539. IEEE, (2018)Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors., , , , and . IROS, page 498-503. IEEE, (2018)Probabilistic movement primitives under unknown system dynamics., , , and . Advanced Robotics, 32 (6): 297-310 (2018)Policy evaluation with temporal differences: a survey and comparison., , and . J. Mach. Learn. Res., 15 (1): 809-883 (2014)Learning modular policies for robotics., , , , and . Front. Comput. Neurosci., (2014)Probabilistic inference for determining options in reinforcement learning., , , and . Machine Learning, 104 (2-3): 337-357 (2016)