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Gaussian Process Self-triggered Policy Search in Weakly Observable Environments.

, , , and . ICRA, page 5946-5952. IEEE, (2022)

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Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images., , , , , , and . SII, page 271-276. IEEE, (2020)Learning CPG-based biped locomotion with a policy gradient method., , , , and . Humanoids, page 208-213. IEEE, (2005)Real-time stylistic prediction for whole-body human motions, , and . (2011)Environment-adaptive interaction primitives for human-robot motor skill learning., , , , , and . Humanoids, page 711-717. IEEE, (2016)Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots., , and . Humanoids, page 662-667. IEEE, (2016)Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states., , and . Neural Networks, (2017)Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation., , , , , and . CoRR, (2022)Multi-step motion learning by combining learning-from-demonstration and policy-search., , , and . Adv. Robotics, 37 (9): 560-575 (May 2023)Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control., , , , , , and . CoRR, (2020)Deep Segmented DMP Networks for Learning Discontinuous Motions., , , and . CASE, page 1-7. IEEE, (2023)