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
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Guilherme Jorge MaedaSony AIVerified email at sony.com
Katharina MuellingRoboticistVerified email at google.com
Joni PajarinenAssistant Professor at Aalto UniversityVerified email at aalto.fi
Marco EwertonOcado TechnologyVerified email at ocado.com
Rudolf LioutikovResearch Group Leader, Karlsruhe Institute of TechnologyVerified email at kit.edu
Roberto CalandraTU DresdenVerified email at tu-dresden.de
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Verified email at uva.nl
Boris BelousovSenior Researcher at German Research Centre for Artificial Intelligence (DFKI GmbH)Verified email at dfki.de
Alexandros ParaschosVolkswagen AGVerified email at argmax.ai
Michael LutterBoston DynamicsVerified email at bostondynamics.com
Heni Ben AmorAssociate Professor, Arizona State UniversityVerified email at asu.edu
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk

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	3390	2013
A survey on policy search for robotics MP Deisenroth, G Neumann, J Peters Foundations and Trends® in Robotics 2 (1–2), 1-142, 2013	1133	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	1116	2008
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	1042	2008
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	866	2014
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1), 171–203, 2011	835	2011
Relative entropy policy search J Peters, K Mülling, Y Altun Proceedings of the Twenty-fourth National Conference on Artificial …, 2010	707	2010
Policy gradient methods for robotics J Peters, S Schaal Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006	707	2006
An algorithmic perspective on imitation learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters Foundations and Trends® in Robotics 7 (1-2), 1-179, 2018	636	2018
Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12, 319-340, 2011	566	2011
Probabilistic movement primitives A Paraschos, C Daniel, JR Peters, G Neumann Advances in neural information processing systems 26, 2013	543	2013
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the 3rd IEEE-RAS International Conference on Humanoid Robots …, 2003	503	2003
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	499	2013
Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005	471	2005
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	428	2008
Natural actor-critic J Peters, S Vijayakumar, S Schaal European Conference on Machine Learning, 280-291, 2005	400	2005
Relative entropy inverse reinforcement learning A Boularias, J Kober, J Peters 14th International Conference on Artificial Intelligence and Statistics …, 2011	392	2011
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009	369	2009
Deep lagrangian networks: Using physics as model prior for deep learning M Lutter, C Ritter, J Peters arXiv preprint arXiv:1907.04490, 2019	320	2019
Parameter-exploring policy gradients F Sehnke, C Osendorfer, T Rückstieß, A Graves, J Peters, J Schmidhuber Neural Networks 23 (4), 551-559, 2010	310	2010

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