Sim-to-Real Transfer for Biped Locomotion
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C. Karen Liu | Greg Turk | Wenhao Yu | C. K. Liu | Visak C. V. Kumar | Wenhao Yu | Greg Turk | Visak C. V. Kumar | C. Liu | C. Liu
[1] Inman Harvey,et al. Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics , 1995, ECAL.
[2] Nikolaus Hansen,et al. On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation , 1995, ICGA.
[3] Pieter Abbeel,et al. Exploration and apprenticeship learning in reinforcement learning , 2005, ICML.
[4] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[5] J. Grizzle,et al. Identification and Dynamic Model of a Bipedal Robot With a Cable-Differential-Based Compliant Drivetrain , 2010 .
[6] Carl E. Rasmussen,et al. PILCO: A Model-Based and Data-Efficient Approach to Policy Search , 2011, ICML.
[7] Antoine Cully,et al. Robots that can adapt like animals , 2014, Nature.
[8] Sehoon Ha,et al. Reducing hardware experiments for model learning and policy optimization , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[9] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[10] Jonas Buchli,et al. Why off-the-shelf physics simulators fail in evaluating feedback controller performance - a case study for quadrupedal robots , 2016 .
[11] Byron Boots,et al. Simulation-based design of dynamic controllers for humanoid balancing , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[12] Silvio Savarese,et al. Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[13] Razvan Pascanu,et al. Sim-to-Real Robot Learning from Pixels with Progressive Nets , 2016, CoRL.
[14] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[15] Greg Turk,et al. Preparing for the Unknown: Learning a Universal Policy with Online System Identification , 2017, Robotics: Science and Systems.
[16] Balaraman Ravindran,et al. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles , 2016, ICLR.
[17] Sergey Levine,et al. Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning , 2017, ICLR.
[18] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[19] Marcin Andrychowicz,et al. Sim-to-Real Transfer of Robotic Control with Dynamics Randomization , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[20] Pierre-Yves Oudeyer,et al. Sim-to-Real Transfer with Neural-Augmented Robot Simulation , 2018, CoRL.
[21] Sergey Levine,et al. DeepMimic , 2018, ACM Trans. Graph..
[22] Tao Chen,et al. Hardware Conditioned Policies for Multi-Robot Transfer Learning , 2018, NeurIPS.
[23] Atil Iscen,et al. Sim-to-Real: Learning Agile Locomotion For Quadruped Robots , 2018, Robotics: Science and Systems.
[24] Sehoon Ha,et al. Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot , 2018, 2018 15th International Conference on Ubiquitous Robots (UR).
[25] Sergey Levine,et al. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , 2018, ICML.
[26] C. Karen Liu,et al. Learning symmetric and low-energy locomotion , 2018, ACM Trans. Graph..
[27] Emanuel Todorov,et al. Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system , 2018, 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).
[28] Siddhartha S. Srinivasa,et al. DART: Dynamic Animation and Robotics Toolkit , 2018, J. Open Source Softw..
[29] C. Karen Liu,et al. Policy Transfer with Strategy Optimization , 2018, ICLR.
[30] Yevgen Chebotar,et al. Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[31] Joonho Lee,et al. Learning agile and dynamic motor skills for legged robots , 2019, Science Robotics.
[32] Jakub W. Pachocki,et al. Learning dexterous in-hand manipulation , 2018, Int. J. Robotics Res..