Stefan Schaal

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Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, SwitzerlandVerified email at epfl.ch
Ludovic RighettiNew York UniversityVerified email at nyu.edu
Peter PastorRoboticist, GoogleVerified email at google.com
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Evangelos TheodorouGeorgia Institute of TechnologyVerified email at ae.gatech.edu
Aude BillardFull Professor, EPFLVerified email at epfl.ch
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Mrinal KalakrishnanAI Research Scientist, Meta FAIRVerified email at meta.com
Jonas BuchliDeepMindVerified email at google.com
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Gaurav SukhatmeProfessor and Fletcher Jones Endowed Chair, Departments of Computer Science and ElectricalVerified email at usc.edu
Dagmar SternadUniversity Distinguished Professor of Biology, Electrical and Computer Engineering, and PhysicsVerified email at northeastern.edu
Alexander HerzogGoogle DeepMindVerified email at google.com
Mitsuo KawatoATRVerified email at atr.jp
Heiko HoffmannMagimine, LLCVerified email at magimine.com
Freek StulpHead of Department of Cognitive Robotics, German Aerospace Center (DLR)Verified email at dlr.de
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp

Stefan Schaal

Robotics, Machine Learning, AI, Neuroscience

Verified email at google.com - Homepage

artificial intelligence robotics computational neuroscience machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Locally weighted learning CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 11-73, 1997	2450	1997
Is imitation learning the route to humanoid robots? S Schaal Trends in cognitive sciences 3 (6), 233-242, 1999	1916	1999
Survey: Robot programming by demonstration A Billard, S Calinon, R Dillmann, S Schaal Springer handbook of robotics, 1371-1394, 2008	1596	2008
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	1562	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	1139	2008
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	1080	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	1074	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	943	2011
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	875	2009
Robot learning from demonstration CG Atkeson, S Schaal ICML 97, 12-20, 1997	835	1997
Locally weighted learning for control CG Atkeson, AW Moore, S Schaal Lazy learning, 75-113, 1997	815	1997
Learning attractor landscapes for learning motor primitives A Ijspeert, J Nakanishi, S Schaal Advances in neural information processing systems 15, 2002	809	2002
Learning from demonstration S Schaal Advances in Neural Information Processing Systems 9, 1040-1046, 1997	809	1997
Computational approaches to motor learning by imitation S Schaal, A Ijspeert, A Billard Philosophical Transactions of the Royal Society of London. Series B …, 2003	796	2003
Locally weighted learning for control CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 75-113, 1997	789	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	739	2006
Constructive incremental learning from only local information S Schaal, CG Atkeson Neural computation 10 (8), 2047-2084, 1998	731	1998
Policy gradient methods for robotics J Peters, S Schaal 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006	717	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	711	2010
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural computation 17 (12), 2602-2634, 2005	667	2005

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