Active Learning of Bayesian Probabilistic Movement Primitives
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Jean-Marc Odobez | Sylvain Calinon | Thibaut Kulak | Hakan Girgin | S. Calinon | J. Odobez | Hakan Girgin | Thibaut Kulak
[1] Aran Sena,et al. Quantifying teaching behavior in robot learning from demonstration , 2019, Int. J. Robotics Res..
[2] Jan Peters,et al. Probabilistic movement primitives under unknown system dynamics , 2018, Adv. Robotics.
[3] Ruzena Bajcsy,et al. Active Learning for Vision-Based Robot Grasping , 2005, Machine Learning.
[4] Artemy Kolchinsky,et al. Estimating Mixture Entropy with Pairwise Distances , 2017, Entropy.
[5] David Silver,et al. Active learning from demonstration for robust autonomous navigation , 2012, 2012 IEEE International Conference on Robotics and Automation.
[6] Sylvain Calinon,et al. Active Improvement of Control Policies with Bayesian Gaussian Mixture Model , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[7] Jan Peters,et al. Probabilistic Movement Primitives , 2013, NIPS.
[8] Jan Peters,et al. Active Incremental Learning of Robot Movement Primitives , 2017, CoRL.
[9] Bernhard Schölkopf,et al. Using probabilistic movement primitives for striking movements , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).
[10] A. Thomaz,et al. Transparent active learning for robots , 2010, 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[11] Manuela M. Veloso,et al. Interactive Policy Learning through Confidence-Based Autonomy , 2014, J. Artif. Intell. Res..
[12] Oliver Kroemer,et al. Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks , 2017, Auton. Robots.
[13] Jan Peters,et al. Incremental imitation learning of context-dependent motor skills , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).
[14] Rajesh P. N. Rao,et al. Active Imitation Learning , 2007, AAAI.
[15] David D. Cox,et al. Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms , 2013, SciPy.
[16] Pierre-Yves Oudeyer,et al. Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot , 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).
[17] Jürgen Schmidhuber,et al. Optimal Artificial Curiosity, Creativity, Music, and the Fine Arts , 2005 .
[18] Yuchen Zhao,et al. Teaching Human Teachers to Teach Robot Learners , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[19] David Cohn,et al. Active Learning , 2010, Encyclopedia of Machine Learning.
[20] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[21] Tucker Hermans,et al. Active Learning of Probabilistic Movement Primitives , 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).
[22] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[23] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[24] Jan Peters,et al. Using probabilistic movement primitives in robotics , 2017, Autonomous Robots.
[25] Oliver Kroemer,et al. Combining active learning and reactive control for robot grasping , 2010, Robotics Auton. Syst..