Jan Peters

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	All	Since 2015
Citations	20962	15468
h-index	68	61
i10-index	228	199

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Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
Jens KoberAssociate Professor, CoR, TU DelftVerified email at tudelft.nl
Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Oliver KroemerCarnegie Mellon University - The Robotics InstituteVerified email at andrew.cmu.edu
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Katharina MuellingCarnegie Mellon University, NRECVerified email at nrec.ri.cmu.edu
Guilherme Jorge MaedaPreferred Networks Inc.Verified email at preferred.jp
Marco EwertonPostdoctoral researcher at Idiap Research Institute, SwitzerlandVerified email at idiap.ch
Rudolf LioutikovAssitant Professor of Practice, University of Texas at AustinVerified email at utexas.edu
Rueckert ElmarAssistant Professor, ROB, Universität zu LübeckVerified email at rob.uni-luebeck.de
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Verified email at uva.nl
Roberto CalandraFacebook AI ResearchVerified email at fb.com
Alexandros ParaschosVolkswagen AGVerified email at argmax.ai
Jun NakanishiMeijo University, JapanVerified email at meijo-u.ac.jp
Joni PajarinenAssistant Professor at Aalto University and Research Group Leader at IAS at TU DarmstadtVerified email at aalto.fi
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de

Jan Peters

Professor at Technische Universität Darmstadt and Researcher at MPI for Intelligent Systems

Verified email at ias.tu-darmstadt.de - Homepage

Robot Learning Reinforcement Learning Machine Learning Robotics Biomimetic Systems


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Reinforcement learning in robotics: A survey J Kober, JA Bagnell, J Peters The International Journal of Robotics Research 32 (11), 1238-1274, 2013	1831	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	864	2008
A survey on policy search for robotics MP Deisenroth, G Neumann, J Peters now publishers, 2013	770	2013
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	766	2008
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1), 171–203, 2011	662	2011
Policy gradient methods for robotics J Peters, S Schaal Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006	537	2006
Relative entropy policy search J Peters, K Mülling, Y Altun Proceedings of the Twenty-fourth National Conference on Artificial …, 2010	498	2010
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the 3rd IEEE-RAS International Conference on Humanoid Robots …, 2003	434	2003
Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12 (4), 319-340, 2011	411	2011
Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005	395	2005
Learning to select and generalize striking movements in robot table tennis K Mülling, J Kober, O Kroemer, J Peters The International Journal of Robotics Research 32 (3), 263-279, 2013	341	2013
Operational space control: A theoretical and empirical comparison J Nakanishi, R Cory, M Mistry, J Peters, S Schaal The International Journal of Robotics Research 27 (6), 737-757, 2008	336	2008
Probabilistic movement primitives A Paraschos, C Daniel, JR Peters, G Neumann Advances in neural information processing systems, 2616-2624, 2013	319	2013
Natural evolution strategies D Wierstra, T Schaul, J Peters, J Schmidhuber 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	276	2008
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009	270	2009
Natural evolution strategies D Wierstra, T Schaul, T Glasmachers, Y Sun, J Peters, J Schmidhuber The Journal of Machine Learning Research 15 (1), 949-980, 2014	262	2014
Natural actor-critic J Peters, S Vijayakumar, S Schaal European Conference on Machine Learning, 280-291, 2005	261	2005
Relative entropy inverse reinforcement learning A Boularias, J Kober, J Peters 14th International Conference on Artificial Intelligence and Statistics …, 2011	260	2011
Gaussian process dynamic programming MP Deisenroth, CE Rasmussen, J Peters Neurocomputing 72 (7-9), 1508-1524, 2009	236	2009
Learning motor primitives for robotics J Kober, J Peters 2009 IEEE International Conference on Robotics and Automation, 2112-2118, 2009	223	2009

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