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Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning.

, , , and . ICRA, page 4163-4170. IEEE, (2021)

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Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments., , and . Humanoids, page 169-176. IEEE, (2013)Probabilistic segmentation applied to an assembly task., , , and . Humanoids, page 533-540. IEEE, (2015)Anticipative Interaction Primitives for Human-Robot Collaboration., , , , and . AAAI Fall Symposia, AAAI Press, (2016)Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks., , and . Frontiers Robotics AI, (2020)Deep Adversarial Reinforcement Learning for Object Disentangling., , , and . IROS, page 5504-5510. IEEE, (2020)A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning., , , and . ICRA, page 4216-4222. IEEE, (2021)Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning., , , , , and . ICRA, page 6672-6678. IEEE, (2021)09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments., , , and . Cognition, Control and Learning for Robot Manipulation in Human Environments, volume 09341 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)Start State Selection for Control Policy Learning from Optimal Trajectories., , and . ICRA, page 3247-3253. IEEE, (2023)SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion., , , and . ICRA, page 5923-5930. IEEE, (2023)