Jens Kober

Cited by

	All	Since 2016
Citations	5208	3794
h-index	25	23
i10-index	38	30

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Co-authors

Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Katharina MuellingCarnegie Mellon University, NRECVerified email at nrec.ri.cmu.edu
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueVerified email at tudelft.nl
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Tim de BruinPlumeraiVerified email at plumerai.com
Oliver KroemerCarnegie Mellon University - The Robotics InstituteVerified email at andrew.cmu.edu
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Simon ManschitzSenior Scientist, Honda Research Institute EuropeVerified email at honda-ri.de
Carlos CeleminCognitive Robotics, Delft University of TechnologyVerified email at tudelft.nl
Erhan OztopComputer Science, Ozyegin UniversityVerified email at ozyegin.edu.tr
Javier Ruiz-del-SolarUniversidad de ChileVerified email at ing.uchile.cl
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
Abdeslam BoulariasRutgers UniversityVerified email at cs.rutgers.edu
Betty J. MohlerAmazonVerified email at tuebingen.mpg.de
Rodrigo Pérez-DattariPhD Student, Cognitive Robotics, Delft University of TechnologyVerified email at tudelft.nl
Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Lucian BusoniuProfessor and Group Lead, Automation Department, Technical University of Cluj-NapocaVerified email at aut.utcluj.ro
Domagoj TolicRIT CroatiaVerified email at croatia.rit.edu

Jens Kober

Associate Professor, CoR, TU Delft

Verified email at tudelft.nl - Homepage

Robotics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reinforcement learning in robotics: A survey J Kober, JA Bagnell, J Peters The International Journal of Robotics Research 32 (11), 1238-1274, 2013	1907	2013
Policy search for motor primitives in robotics J Kober, J Peters Machine Learning 84 (1-2), 171-203, 2011	679	2011
Policy search for motor primitives in robotics J Kober, JR Peters Advances in neural information processing systems, 849-856, 2009	679	2009
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	352	2013
Relative entropy inverse reinforcement learning A Boularias, J Kober, J Peters Journal of Machine Learning Research-Proceedings Track (AIStats) 15, 182-189, 2011	267	2011
Learning motor primitives for robotics J Kober, J Peters 2009 IEEE International Conference on Robotics and Automation, 2112-2118, 2009	227	2009
Reinforcement Learning to adjust Robot Movements to New Situations J Kober, E Oztop, J Peters Robotics: Science and Systems Conference (RSS 2010), 33-40, 2010	181	2010
Reinforcement learning to adjust parametrized motor primitives to new situations J Kober, A Wilhelm, E Oztop, J Peters Autonomous Robots 33 (4), 361-379, 2012	177	2012
Movement templates for learning of hitting and batting J Kober, K Mülling, O Krömer, CH Lampert, B Schölkopf, J Peters 2010 IEEE International Conference on Robotics and Automation, 853-858, 2010	150	2010
Imitation and reinforcement learning J Kober, J Peters Robotics & Automation Magazine, IEEE 17 (2), 55-62, 2010	118	2010
A biomimetic approach to robot table tennis K Mülling, J Kober, J Peters Adaptive Behavior 19 (5), 359-376, 2011	108	2011
A biomimetic approach to robot table tennis K Mulling, J Kober, J Peters Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International …, 2010	108	2010
Learning perceptual coupling for motor primitives J Kober, B Mohler, J Peters 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008	95	2008
Learning table tennis with a mixture of motor primitives K Muelling, J Kober, J Peters 2010 10th IEEE-RAS International Conference on Humanoid Robots, 411-416, 2010	90	2010
Reinforcement learning for control: Performance, stability, and deep approximators L Buşoniu, T de Bruin, D Tolić, J Kober, I Palunko Annual Reviews in Control 46, 8-28, 2018	74	2018
The importance of experience replay database composition in deep reinforcement learning T De Bruin, J Kober, K Tuyls, R Babuška Deep reinforcement learning workshop, NIPS, 2015	64	2015
Playing catch and juggling with a humanoid robot J Kober, M Glisson, M Mistry 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2012	63	2012
Integrating state representation learning into deep reinforcement learning T de Bruin, J Kober, K Tuyls, R Babuška IEEE Robotics and Automation Letters 3 (3), 1394-1401, 2018	50	2018
Learning motor skills: from algorithms to robot experiments J Kober it-Information Technology 56 (3), 141-146, 2014	49	2014
Learning motor skills: from algorithms to robot experiments J Kober, J Peters Springer, 2013	46	2013

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