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Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies.

, , , and . ICRA, page 8629-8635. IEEE, (2021)

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Adaptive Step-size Policy Gradients with Average Reward Metric., , and . ACML, volume 13 of JMLR Proceedings, page 285-298. JMLR.org, (2010)Multi-step motion learning by combining learning-from-demonstration and policy-search., , , and . Adv. Robotics, 37 (9): 560-575 (May 2023)Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation., , , , , and . CoRR, (2022)Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states., , and . Neural Networks, (2017)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)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)Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation., and . Robotics Auton. Syst., (2022)Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness., , and . IROS, page 5622-5629. (2023)