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 MaedaSony AIVerified email at sony.com
Marco EwertonPostdoctoral researcher at Idiap Research Institute, SwitzerlandVerified email at idiap.ch
Rudolf LioutikovResearch Group Leader, Karlsruhe Institute of TechnologyVerified email at kit.edu
Joni PajarinenAssistant Professor at Aalto University and Research Group Leader at IAS at TU DarmstadtVerified email at aalto.fi
Roberto CalandraMeta AIVerified email at fb.com
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Verified email at uva.nl
Jun NakanishiMeijo University, JapanVerified email at meijo-u.ac.jp
Alexandros ParaschosVolkswagen AGVerified email at argmax.ai
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Heni Ben AmorArizona State UniversityVerified email at asu.edu
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de

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	2718	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	1011	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	1000	2013
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	930	2008
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1), 171–203, 2011	774	2011
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	697	2014
Policy gradient methods for robotics J Peters, S Schaal Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006	644	2006
Relative entropy policy search J Peters, K Mülling, Y Altun Proceedings of the Twenty-fourth National Conference on Artificial …, 2010	632	2010
Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12 (4), 319-340, 2011	499	2011
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the 3rd IEEE-RAS International Conference on Humanoid Robots …, 2003	479	2003
Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005	443	2005
Probabilistic movement primitives A Paraschos, C Daniel, JR Peters, G Neumann Advances in neural information processing systems 26, 2013	438	2013
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	435	2013
An algorithmic perspective on imitation learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters arXiv preprint arXiv:1811.06711, 2018	428	2018
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	398	2008
Relative entropy inverse reinforcement learning A Boularias, J Kober, J Peters 14th International Conference on Artificial Intelligence and Statistics …, 2011	340	2011
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009	322	2009
Natural actor-critic J Peters, S Vijayakumar, S Schaal European Conference on Machine Learning, 280-291, 2005	280	2005
Parameter-exploring policy gradients F Sehnke, C Osendorfer, T Rückstieß, A Graves, J Peters, J Schmidhuber Neural Networks 23 (4), 551-559, 2010	275	2010
Bayesian optimization for learning gaits under uncertainty R Calandra, A Seyfarth, J Peters, MP Deisenroth Annals of Mathematics and Artificial Intelligence 76 (1), 5-23, 2016	259	2016

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