Active Learning of Probabilistic Movement Primitives
暂无分享,去创建一个
[1] Jan Peters,et al. Context-driven movement primitive adaptation , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[2] Bernhard Schölkopf,et al. Using probabilistic movement primitives for striking movements , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).
[3] Jan Peters,et al. Learning multiple collaborative tasks with a mixture of Interaction Primitives , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[4] David Silver,et al. Active learning from demonstration for robust autonomous navigation , 2012, 2012 IEEE International Conference on Robotics and Automation.
[5] Thomas G. Dietterich,et al. Active Imitation Learning via Reduction to I.I.D. Active Learning , 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.
[6] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[7] Jan Peters,et al. Using probabilistic movement primitives in robotics , 2017, Autonomous Robots.
[8] Jan Peters,et al. Probabilistic movement primitives under unknown system dynamics , 2018, Adv. Robotics.
[9] Bruno Castro da Silva,et al. Active Learning of Parameterized Skills , 2014, ICML.
[10] Stefan Schaal,et al. Probabilistic object tracking using a range camera , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[11] Siddhartha S. Srinivasa,et al. The YCB object and Model set: Towards common benchmarks for manipulation research , 2015, 2015 International Conference on Advanced Robotics (ICAR).
[12] Oliver Kroemer,et al. Combining active learning and reactive control for robot grasping , 2010, Robotics Auton. Syst..
[13] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[14] Manuela M. Veloso,et al. Interactive Policy Learning through Confidence-Based Autonomy , 2014, J. Artif. Intell. Res..
[15] Patrick van der Smagt,et al. Active Learning based on Data Uncertainty and Model Sensitivity , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Stefan Schaal,et al. Robot Learning From Demonstration , 1997, ICML.
[17] Alexander Fabisch,et al. Active contextual policy search , 2014, J. Mach. Learn. Res..
[18] Jan Peters,et al. Reinforcement Learning to Adjust Robot Movements to New Situations , 2010, IJCAI.
[19] Christophe Ley,et al. Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median , 2013 .
[20] Jan Peters,et al. Active Incremental Learning of Robot Movement Primitives , 2017, CoRL.
[21] Robert D. Howe,et al. A compliant, underactuated hand for robust manipulation , 2013, Int. J. Robotics Res..
[22] Carme Torras,et al. Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[23] Robert D. Howe,et al. Limits to compliance and the role of tactile sensing in grasping , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[24] Brett Browning,et al. A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..
[25] Tucker Hermans,et al. Relaxed-rigidity constraints: kinematic trajectory optimization and collision avoidance for in-grasp manipulation , 2018, Autonomous Robots.
[26] P. Mahalanobis. On the generalized distance in statistics , 1936 .
[27] Jan Peters,et al. Online Learning of an Open-Ended Skill Library for Collaborative Tasks , 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).
[28] Rajesh P. N. Rao,et al. Active Imitation Learning , 2007, AAAI.
[29] Stefan Schaal,et al. Robot Programming by Demonstration , 2009, Springer Handbook of Robotics.
[30] Herman Bruyninckx,et al. Open robot control software: the OROCOS project , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[31] Jan Peters,et al. Probabilistic Prioritization of Movement Primitives , 2017, IEEE Robotics and Automation Letters.
[32] Bernhard Schölkopf,et al. Adaptation and Robust Learning of Probabilistic Movement Primitives , 2018, IEEE Transactions on Robotics.
[33] Daniel H. Grollman,et al. Dogged Learning for Robots , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[34] Sylvain Calinon,et al. Supervisory teleoperation with online learning and optimal control , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[35] David Cohn,et al. Active Learning , 2010, Encyclopedia of Machine Learning.
[36] Pierre-Yves Oudeyer,et al. Active learning of inverse models with intrinsically motivated goal exploration in robots , 2013, Robotics Auton. Syst..
[37] Henk Nijmeijer,et al. Robot Programming by Demonstration , 2010, SIMPAR.