Towards Minimal Intervention Control with Competing Constraints
暂无分享,去创建一个
[1] Jun Nakanishi,et al. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors , 2013, Neural Computation.
[2] Yasemin Altun,et al. Relative Entropy Policy Search , 2010 .
[3] Stefan Schaal,et al. Learning and generalization of motor skills by learning from demonstration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[4] Sandra Hirche,et al. Risk-Sensitive Optimal Feedback Control for Haptic Assistance , 2012, 2012 IEEE International Conference on Robotics and Automation.
[5] Bernhard Schölkopf,et al. Learning optimal striking points for a ping-pong playing robot , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[6] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[7] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[8] Peters Jan,et al. Jointly learning trajectory generation and hitting point prediction in robot table tennis , 2016 .
[9] Jochen J. Steil,et al. Task-level imitation learning using variance-based movement optimization , 2009, 2009 IEEE International Conference on Robotics and Automation.
[10] Darwin G. Caldwell,et al. A task-parameterized probabilistic model with minimal intervention control , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[11] Darwin G. Caldwell,et al. Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[12] Darwin G. Caldwell,et al. Learning Task Priorities from Demonstrations , 2017, IEEE Transactions on Robotics.
[13] Aude Billard,et al. Statistical Learning by Imitation of Competing Constraints in Joint Space and Task Space , 2009, Adv. Robotics.
[14] John M. Hollerbach,et al. Redundancy resolution of manipulators through torque optimization , 1987, IEEE J. Robotics Autom..
[15] Stefan Schaal,et al. A Generalized Path Integral Control Approach to Reinforcement Learning , 2010, J. Mach. Learn. Res..
[16] Olivier Sigaud,et al. Robot Skill Learning: From Reinforcement Learning to Evolution Strategies , 2013, Paladyn J. Behav. Robotics.
[17] Darwin G. Caldwell,et al. An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[18] Stefan Schaal,et al. Policy Gradient Methods for Robotics , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[19] Darwin G. Caldwell,et al. Kernelized movement primitives , 2017, Int. J. Robotics Res..
[20] Tamim Asfour,et al. Task-oriented generalization of dynamic movement primitive , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[21] Sylvain Calinon,et al. A tutorial on task-parameterized movement learning and retrieval , 2016, Intell. Serv. Robotics.
[22] Sergey Levine,et al. Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics , 2014, NIPS.
[23] Jan Peters,et al. Probabilistic Movement Primitives , 2013, NIPS.