Stefan Schaal

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Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Ludovic RighettiNew York University and Artificial and Natural Intelligence Toulouse InstituteVerified email at nyu.edu
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, SwitzerlandVerified email at epfl.ch
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 Technology & Amazon SEASVerified email at ae.gatech.edu
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Aude BillardFull Professor, EPFLVerified email at epfl.ch
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, Departments of CS and ECE, USCVerified 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
Heiko HoffmannMagimine, LLCVerified email at magimine.com
Mitsuo KawatoATRVerified email at atr.jp
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	2476	1997
Is imitation learning the route to humanoid robots? S Schaal Trends in cognitive sciences 3 (6), 233-242, 1999	2013	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	1750	2013
Survey: Robot programming by demonstration A Billard, S Calinon, R Dillmann, S Schaal Springer handbook of robotics, 1371-1394, 2008	1687	2008
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	1233	2008
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	1148	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	1141	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	1074	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	1013	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	927	2009
Learning from demonstration S Schaal Advances in Neural Information Processing Systems 9, 1040-1046, 1997	903	1997
Robot learning from demonstration CG Atkeson, S Schaal ICML 97, 12-20, 1997	876	1997
Learning attractor landscapes for learning motor primitives A Ijspeert, J Nakanishi, S Schaal Advances in neural information processing systems 15, 2002	852	2002
Locally weighted learning for control CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 75-113, 1997	849	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	816	2003
Dynamic movement primitives-a framework for motor control in humans and humanoid robotics S Schaal Adaptive motion of animals and machines, 261-280, 2006	815	2006
Policy gradient methods for robotics J Peters, S Schaal 2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006	772	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	748	2010
Constructive incremental learning from only local information S Schaal, CG Atkeson Neural computation 10 (8), 2047-2084, 1998	738	1998
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural computation 17 (12), 2602-2634, 2005	687	2005

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