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A Differentiable Physics Engine for Deep Learning in Robotics

, , , and . (2016)cite arxiv:1611.01652Comment: International Conference on Learning Representations 2017.

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Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks., , , and . Pattern Recognit. Lett., (2018)Transfer learning of gaits on a quadrupedal robot., , , , and . Adaptive Behaviour, 23 (2): 69-82 (2015)Terrain Classification for a Quadruped Robot., , , , and . ICMLA (1), page 185-190. IEEE, (2013)BRUNO: A Deep Recurrent Model for Exchangeable Data., , , , , and . NeurIPS, page 7190-7198. (2018)Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs., , , , , , , , , and 2 other author(s). Frontiers Robotics AI, (2018)A Differentiable Physics Engine for Deep Learning in Robotics., , , and . ICLR (Workshop), OpenReview.net, (2017)Shaking the foundations: delusions in sequence models for interaction and control., , , , , , , , , and 9 other author(s). CoRR, (2021)A Differentiable Physics Engine for Deep Learning in Robotics, , , and . (2016)cite arxiv:1611.01652Comment: International Conference on Learning Representations 2017.Developing an embodied gait on a compliant quadrupedal robot., , , and . IROS, page 4486-4491. IEEE, (2015)Learning by Playing Solving Sparse Reward Tasks from Scratch., , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4341-4350. PMLR, (2018)