Jan Peters

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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 SchaalRobotics, Machine Learning, AI, NeuroscienceVerified 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 MuellingRoboticistVerified email at google.com
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
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Verified email at uva.nl
Joni PajarinenAssistant Professor at Aalto University and Research Group Leader at IAS at TU DarmstadtVerified email at aalto.fi
Alexandros ParaschosVolkswagen AGVerified email at argmax.ai
Jun NakanishiMeijo University, JapanVerified email at meijo-u.ac.jp
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
Heni Ben AmorArizona State UniversityVerified email at asu.edu
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at

Jan Peters

Professor for Intelligent Autonomous Systems at Technische Universität Darmstadt

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	2230	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	942	2008
A survey on policy search for robotics MP Deisenroth, G Neumann, J Peters Foundations and trends in Robotics 2 (1-2), 388-403, 2013	873	2013
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	849	2008
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1), 171–203, 2011	734	2011
Policy gradient methods for robotics J Peters, S Schaal Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006	589	2006
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	576	2014
Relative entropy policy search J Peters, K Mülling, Y Altun Proceedings of the Twenty-fourth National Conference on Artificial …, 2010	551	2010
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the 3rd IEEE-RAS International Conference on Humanoid Robots …, 2003	451	2003
Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12 (4), 319-340, 2011	445	2011
Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005	421	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	381	2013
Probabilistic movement primitives A Paraschos, C Daniel, J Peters, G Neumann Advances in neural information processing systems, 2013	364	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	359	2008
Relative entropy inverse reinforcement learning A Boularias, J Kober, J Peters 14th International Conference on Artificial Intelligence and Statistics …, 2011	296	2011
An algorithmic perspective on imitation learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters arXiv preprint arXiv:1811.06711, 2018	293	2018
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009	293	2009
Natural actor-critic J Peters, S Vijayakumar, S Schaal European Conference on Machine Learning, 280-291, 2005	275	2005
Parameter-exploring policy gradients F Sehnke, C Osendorfer, T Rückstieß, A Graves, J Peters, J Schmidhuber Neural Networks 23 (4), 551-559, 2010	254	2010
Gaussian process dynamic programming MP Deisenroth, CE Rasmussen, J Peters Neurocomputing 72 (7-9), 1508-1524, 2009	250	2009

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