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 University / Max-Planck Institute for Intelligent SystemsVerified 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
Jun NakanishiMeijo University, JapanVerified email at meijo-u.ac.jp
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 KalakrishnanRoboticist, X, the Moonshot FactoryVerified email at x.team
Jonas BuchliDeepMindVerified email at google.com
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Mitsuo KawatoATRVerified email at atr.jp
Gaurav SukhatmeProfessor and Fletcher Jones Endowed Chair, Departments of Computer Science and ElectricalVerified email at usc.edu
Dagmar SternadProfessor of Biology, Electrical and Computer Engineering, and PhysicsVerified email at neu.edu
Heiko HoffmannHRL Laboratories, LLCVerified email at hrl.com
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Alexander HerzogRoboticist, XVerified email at x.team
Freek StulpHead of Department of Cognitive Robotics, German Aerospace Center (DLR)Verified email at freekstulp.net

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	2223	1997
Is imitation learning the route to humanoid robots? S Schaal Trends in cognitive sciences 3 (6), 233-242, 1999	1587	1999
Survey: Robot programming by demonstration A Billard, S Calinon, R Dillmann, S Schaal Springer handbook of robotics, 1371-1394, 2008	1319	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	1031	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	907	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	870	2002
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	810	2008
Locally weighted learning for control CG Atkeson, AW Moore, S Schaal Lazy learning, 75-113, 1997	750	1997
Learning attractor landscapes for learning motor primitives AJ Ijspeert, J Nakanishi, S Schaal Advances in Neural Information Processing Systems 15 (NIPS2002), 1547-1554, 2002	728	2002
Locally weighted learning for control CG Atkeson, A Moore, S Schaal Artificial Intelligence Review 11 (1-5), 75-113, 1997	720	1997
Robot learning from demonstration CG Atkeson, S Schaal ICML 97, 12-20, 1997	711	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	708	2003
Constructive incremental learning from only local information S Schaal, CG Atkeson Neural computation 10 (8), 2047-2084, 1998	689	1998
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	679	2009
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural computation 17 (12), 2602-2634, 2005	621	2005
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	583	2011
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	574	2010
Policy gradient methods for robotics J Peters, S Schaal 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006	554	2006
Learning from demonstration S Schaal Advances in Neural Information Processing Systems 9, 1040-1046, 1997	526	1997
Learning from demonstration and adaptation of biped locomotion J Nakanishi, J Morimoto, G Endo, G Cheng, S Schaal, M Kawato Robotics and autonomous systems 47 (2-3), 79-91, 2004	501	2004

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