Learning and Exploring Motor Skills with Spacetime Bounds

Learning and Exploring Motor Skills with Spacetime Bounds

31 March 2021

Papers citing "Learning and Exploring Motor Skills with Spacetime Bounds"

10 / 10 papers shown

Title
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 153 107 0 09 May 2020
Towards Robust Direction Invariance in Character Animation Li-Ke Ma Zeshi Yang Baining Guo KangKang Yin 47 8 0 15 Jul 2019
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation Yifeng Jiang Tom Van Wouwe F. D. Groote Chenxi Liu 68 75 0 30 Apr 2019
SFV: Reinforcement Learning of Physical Skills from Videos Xue Bin Peng Angjoo Kanazawa Jitendra Malik Pieter Abbeel Sergey Levine 72 65 0 08 Oct 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 232 499 0 08 Apr 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk Chenxi Liu 105 185 0 24 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 202 937 0 07 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 96 3,414 0 08 Jun 2015

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