Stefan Schaal

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	总计	2019 年至今
引用	50808	21148
h 指数	104	70
i10 指数	295	210

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Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI在 ias.tu-darmstadt.de 的电子邮件经过验证
Ludovic RighettiNew York University and Artificial and Natural Intelligence Toulouse Institute在 nyu.edu 的电子邮件经过验证
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, Switzerland在 epfl.ch 的电子邮件经过验证
Peter PastorRoboticist, Google在 google.com 的电子邮件经过验证
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UK在 ed.ac.uk 的电子邮件经过验证
Christopher Granger AtkesonProfessor, Robotics Institute, CMU在 cmu.edu 的电子邮件经过验证
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEAS在 ae.gatech.edu 的电子邮件经过验证
Michael MistryProfessor of Robotics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Aude BillardFull Professor, EPFL在 epfl.ch 的电子邮件经过验证
Mrinal KalakrishnanAI Research Scientist, Meta FAIR在 meta.com 的电子邮件经过验证
Jonas BuchliDeepMind在 google.com 的电子邮件经过验证
Jeannette BohgAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Gaurav SukhatmeProfessor, Departments of CS and ECE, USC在 usc.edu 的电子邮件经过验证
Dagmar SternadUniversity Distinguished Professor of Biology, Electrical and Computer Engineering, and Physics在 northeastern.edu 的电子邮件经过验证
Alexander HerzogGoogle DeepMind在 google.com 的电子邮件经过验证
Heiko HoffmannMagimine, LLC在 magimine.com 的电子邮件经过验证
Mitsuo KawatoATR在 atr.jp 的电子邮件经过验证
Freek StulpHead of Department of Cognitive Robotics, German Aerospace Center (DLR)在 dlr.de 的电子邮件经过验证
Tomohiro ShibataProfessor of Kyushu Institute of Technology在 brain.kyutech.ac.jp 的电子邮件经过验证

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Stefan Schaal

Robotics, Machine Learning, AI, Neuroscience

在 google.com 的电子邮件经过验证 - 首页

artificial intelligence robotics computational neuroscience machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Locally weighted learning CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 11-73, 1997	2488	1997
Is imitation learning the route to humanoid robots? S Schaal Trends in cognitive sciences 3 (6), 233-242, 1999	2043	1999
Dynamical movement primitives: learning attractor models for motor behaviors AJ Ijspeert, J Nakanishi, H Hoffmann, P Pastor, S Schaal Neural computation 25 (2), 328-373, 2013	1796	2013
Survey: Robot programming by demonstration A Billard, S Calinon, R Dillmann, S Schaal Springer handbook of robotics, 1371-1394, 2008	1716	2008
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	1257	2008
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	1170	2008
Movement imitation with nonlinear dynamical systems in humanoid robots AJ Ijspeert, J Nakanishi, S Schaal Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002	1156	2002
STOMP: Stochastic trajectory optimization for motion planning M Kalakrishnan, S Chitta, E Theodorou, P Pastor, S Schaal 2011 IEEE international conference on robotics and automation, 4569-4574, 2011	1106	2011
Time-contrastive networks: Self-supervised learning from video P Sermanet, C Lynch, Y Chebotar, J Hsu, E Jang, S Schaal, S Levine, ... 2018 IEEE international conference on robotics and automation (ICRA), 1134-1141, 2018	1051	2018
Learning and generalization of motor skills by learning from demonstration P Pastor, H Hoffmann, T Asfour, S Schaal 2009 IEEE International Conference on Robotics and Automation, 763-768, 2009	937	2009
Learning from demonstration S Schaal Advances in Neural Information Processing Systems 9, 1040-1046, 1997	934	1997
Robot learning from demonstration CG Atkeson, S Schaal ICML 97, 12-20, 1997	884	1997
Learning attractor landscapes for learning motor primitives A Ijspeert, J Nakanishi, S Schaal Advances in neural information processing systems 15, 2002	856	2002
Locally weighted learning for control CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 75-113, 1997	849	1997
Dynamic movement primitives-a framework for motor control in humans and humanoid robotics S Schaal Adaptive motion of animals and machines, 261-280, 2006	837	2006
Computational approaches to motor learning by imitation S Schaal, A Ijspeert, A Billard Philosophical Transactions of the Royal Society of London. Series B …, 2003	823	2003
Policy gradient methods for robotics J Peters, S Schaal 2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006	777	2006
A generalized path integral control approach to reinforcement learning E Theodorou, J Buchli, S Schaal The Journal of Machine Learning Research 11, 3137-3181, 2010	760	2010
Constructive incremental learning from only local information S Schaal, CG Atkeson Neural computation 10 (8), 2047-2084, 1998	743	1998
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural computation 17 (12), 2602-2634, 2005	690	2005

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