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Deep Black-Box Reinforcement Learning with Movement Primitives.

, , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1244-1265. PMLR, (2022)

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Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts., , and . CoRR, (2024)MP3: Movement Primitive-Based (Re-)Planning Policy., , , , , and . CoRR, (2023)Curriculum-Based Imitation of Versatile Skills., , , , , and . ICRA, page 2951-2957. IEEE, (2023)Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics., , and . IROS, page 6828-6833. IEEE, (2019)Deep Black-Box Reinforcement Learning with Movement Primitives., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1244-1265. PMLR, (2022)Specializing Versatile Skill Libraries using Local Mixture of Experts., , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1423-1433. PMLR, (2021)Mission Design of DESTINY+: Toward Active Asteroid (3200) Phaethon and Multiple Small Bodies., , , , , , , , , and 3 other author(s). CoRR, (2022)Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts., , , , , , and . CoRR, (2023)MIMO radar beampattern design by using Phased-Costas waveforms with PAR constraints employing a generalized ambiguity function., and . Digit. Signal Process., (April 2023)