Jan Peters

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Coauteurs

Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Adresse e-mail validée de robot-learning.de
Jens KoberAssociate Professor, CoR, TU DelftAdresse e-mail validée de tudelft.nl
Stefan SchaalComputer Scientist in Robotics and AIAdresse e-mail validée de google.com
Oliver KroemerCarnegie Mellon University - The Robotics InstituteAdresse e-mail validée de andrew.cmu.edu
Marc DeisenrothUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Duy Nguyen-TuongBosch Center for AI, GermanyAdresse e-mail validée de robot-learning.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
Katharina MuellingCarnegie Mellon University, NRECAdresse e-mail validée de nrec.ri.cmu.edu
Guilherme Jorge MaedaPreferred Networks Inc.Adresse e-mail validée de preferred.jp
Marco EwertonPostdoctoral researcher at Idiap Research Institute, SwitzerlandAdresse e-mail validée de idiap.ch
Rudolf LioutikovAssitant Professor of Practice, University of Texas at AustinAdresse e-mail validée de utexas.edu
Rueckert ElmarAssistant Professor, ROB, Universität zu LübeckAdresse e-mail validée de rob.uni-luebeck.de
Christian DanielBosch Center for Artificial IntelligenceAdresse e-mail validée de ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Adresse e-mail validée de uva.nl
Roberto CalandraFacebook AI ResearchAdresse e-mail validée de fb.com
Alexandros ParaschosVolkswagen AGAdresse e-mail validée de argmax.ai
Jun NakanishiMeijo University, JapanAdresse e-mail validée de meijo-u.ac.jp
Joni PajarinenAssistant Professor at Aalto University and Research Group Leader at IAS at TU DarmstadtAdresse e-mail validée de aalto.fi
Michael MistryProfessor of Robotics, University of EdinburghAdresse e-mail validée de ed.ac.uk
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinAdresse e-mail validée de amazon.de

Jan Peters

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

Adresse e-mail validée de ias.tu-darmstadt.de - Page d'accueil

Robot Learning Reinforcement Learning Machine Learning Robotics Biomimetic Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Reinforcement learning in robotics: A survey J Kober, JA Bagnell, J Peters The International Journal of Robotics Research 32 (11), 1238-1274, 2013	1835	2013
Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008	868	2008
A survey on policy search for robotics MP Deisenroth, G Neumann, J Peters now publishers, 2013	772	2013
Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008	768	2008
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1), 171–203, 2011	665	2011
Policy gradient methods for robotics J Peters, S Schaal Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006	538	2006
Relative entropy policy search J Peters, K Mülling, Y Altun Proceedings of the Twenty-fourth National Conference on Artificial …, 2010	500	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	410	2011
Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005	396	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	340	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	335	2008
Probabilistic movement primitives A Paraschos, C Daniel, JR Peters, G Neumann Advances in neural information processing systems, 2616-2624, 2013	321	2013
Natural evolution strategies D Wierstra, T Schaul, J Peters, J Schmidhuber 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	277	2008
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009	271	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	263	2014
Natural actor-critic J Peters, S Vijayakumar, S Schaal European Conference on Machine Learning, 280-291, 2005	262	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	224	2009

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