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Scopus

http://orcid.org/0000-0001-7257-5434

http://www.researcherid.com/rid/I-9119-2017

Journal papers

Tom Cornelis Theodorus van Riet, Jens Kober, and Jan de Lange. Robottechnologie, is er een toekomst voor in de tandheelkunde? Quality Practice Tandheelkunde, 12(5):30-35, 2017. [ bib ]

Simon Manschitz, Jens Kober, Michael Gienger, and Jan Peters. Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations. Robotics and Autonomous Systems, 74(Part A):97-107, 2015. [ bib | .pdf ]

Jens Kober. Learning motor skills: From algorithms to robot experiments. it - Information Technology, 56(3):141-146, 2014. [ bib ]

Jens Kober, J. Andrew Bagnell, and Jan Peters. Reinforcement learning in robotics: A survey. International Journal of Robotics Research, 32(11):1238-1274, 2013. [ bib | .pdf ]

Katharina Muelling, Jens Kober, Oliver Kroemer, and Jan Peters. Learning to select and generalize striking movements in robot table tennis. International Journal of Robotics Research, 32(3):263-279, 2013. [ bib | .pdf ]

Jens Kober, Andreas Wilhelm, Erhan Oztop, and Jan Peters. Reinforcement learning to adjust parametrized motor primitives to new situations. Autonomous Robots, 33(4):361-379, 2012. [ bib | .pdf ]

Jens Kober and Jan Peters. Policy search for motor primitives in robotics. Machine Learning, 84(1-2):171-203, 2011. [ bib | .pdf ]

Katharina Muelling, Jens Kober, and Jan Peters. A biomimetic approach to robot table tennis. Adaptive Behavior, 19(5):359-376, 2011. [ bib | .pdf ]

Jens Kober and Jan Peters. Imitation and reinforcement learning - practical algorithms for motor primitive learning in robotics. IEEE Robotics and Automation Magazine, 17(2):55-62, 2010. [ bib | .pdf ]

Jan Peters, Jens Kober, and Stefan Schaal. Policy learning algorithmis for motor learning (algorithmen zum automatischen Erlernen von Motorfähigkigkeiten). at - Automatisierungstechnik, 58(12):688-694, 2010. [ bib | .pdf ]

Jens Kober and Jan Peters. Reinforcement Learning für Motor-Primitive. Künstliche Intelligenz, 9(3):38-40, 2009. [ bib | http ]

Conference and workshop papers

Tom Cornelis Theodorus van Riet, Jens Kober, Xiang Zhang, Maarten Griffioen, Piet-Hein van Twisk, Jan de Lange, and Robert Babuška. Robot-assistance in understanding and education of tooth removal: Setup and preliminary results. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. [ bib ]

Denise S. Feirstein, Ivan Koryakovskiy, Jens Kober, and Heike Vallery. Reinforcement learning of potential fields to achieve limit-cycle walking. In IFAC International Workshop on Periodic Control Systems (PSYCO), volume 49, pages 113 - 118, 2016. IFAC-PapersOnLine. [ bib | .pdf ]

Simon Manschitz, Michael Gienger, Jens Kober, and Jan Peters. Probabilistic decomposition of sequential force interaction tasks into movement primitives. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [ bib ]

Tim de Bruin, Jens Kober, Karl Tuyls, and Robert Babuška. Improved deep reinforcement learning for robotics through distribution-based experience retention. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [ bib | .pdf ]

Jelle Munk, Jens Kober, and Robert Babuška. Learning state representation for deep actor-critic control. In IEEE Conference on Decision and Control (CDC), 2016. [ bib | .pdf ]

Tim de Bruin, Jens Kober, Karl Tuyls, and Robert Babuška. Off policy experience retention for deep actor critic learning. In Deep Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NIPS), 2016. [ bib ]

Tom Cornelis Theodorus van Riet, Jens Kober, Maarten Griffioen, Xiang Zhang, Piet-Hein van Twisk, Robert Babuška, and Jan de Lange. Op zoek naar toepassingen van robottechnologie in de mka-chirurgie. In Annual Scientific Meeting of the Dutch Association of Oral and Maxillofacial Surgery, 2016. [ bib ]

Tim de Bruin, Jens Kober, Karl Tuyls, and Robert Babuška. The importance of experience replay database composition in deep reinforcement learning. In Deep Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NIPS), 2015. [ bib | .pdf ]

Jens Kober, Michael Gienger, and Jochen J. Steil. Learning movement primitives for force interaction tasks. In IEEE International Conference on Robotics and Automation (ICRA), pages 3192-3199, 2015. [ bib | .pdf ]

Simon Manschitz, Jens Kober, Michael Gienger, and Jan Peters. Probabilistic progress prediction and sequencing of concurrent movement primitives. In IEEE/RSJ International Conference on Robot Systems (IROS), 2015. [ bib | .pdf ]

Simon Manschitz, Jens Kober, Michael Gienger, and Jan Peters. Learning to sequence movement primitives from demonstrations. In IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pages 4414-4421, 2014. [ bib | .pdf ]

Simon Manschitz, Jens Kober, Michael Gienger, and Jan Peters. Learning to unscrew a light bulb from demonstrations. In ISR/ROBOTIK 2014, pages 264-270, 2014. [ bib | .pdf ]

Jens Kober. Lernen motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten. In Ausgezeichnete Informatikdissertationen 2012, pages 181-190. Gesellschaft für Informatik e.V. (GI), 2013. [ bib ]

Jan Peters, Jens Kober, Katharina Muelling, Oliver Kroemer, and Gerhard Neumann. Towards robot skill learning: From simple skills to table tennis. In European Conference on Machine Learning (ECML), Nectar Track, pages 627-631, 2013. [ bib | .pdf ]

Jan Peters, Jens Kober, Katharina Muelling, Duy Nguyen-Tuong, and Oliver Kroemer. Learning skills with motor primitives. In 16th Yale Learning Workshop, 2013. [ bib ]

Jens Kober, Matthew Glisson, and Michael Mistry. Playing catch and juggling with a humanoid robot. In IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), pages 875-881, 2012. [ bib | .pdf ]

Jens Kober, Katharina Muelling, and Jan Peters. Learning throwing and catching skills. In IEEE/RSJ International Conference on Robot Systems (IROS), Video Track, pages 5167-5168, 2012. [ bib | .pdf ]

Katharina Muelling, Jens Kober, Oliver Kroemer, and Jan Peters. Learning to select and generalize striking movements in robot table tennis. In AAAI Fall Symposium on Robots that Learn Interactively from Human Teachers, pages 263-279, 2012. [ bib | http ]

Jan Peters, Jens Kober, Katharina Muelling, Duy Nguyen-Tuong, and Oliver Kroemer. Robot skill learning. In European Conference on Artificial Intelligence (ECAI), pages 40-45, 2012. [ bib | .pdf ]

Abdeslam Boularias, Jens Kober, and Jan Peters. Relative entropy inverse reinforcement learning. In 14th International Conference on Artificial Intelligence and Statistics (AISTATS), pages 182-189, 2011. [ bib | .pdf ]

Jens Kober, Erhan Oztop, and Jan Peters. Reinforcement learning to adjust robot movements to new situations. In International Joint Conference on Artificial Intelligence (IJCAI), Best Paper Track, pages 2650-2655, 2011. [ bib | .pdf ]

Jens Kober and Jan Peters. Learning elementary movements jointly with a higher level task. In IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), pages 338-343, 2011. [ bib | .pdf ]

Jens Kober, Katharina Muelling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, and Jan Peters. Movement templates for learning of hitting and batting. In IEEE International Conference on Robotics and Automation (ICRA), pages 69-82, 2010. [ bib | .pdf ]

Jens Kober, Erhan Oztop, and Jan Peters. Reinforcement learning to adjust robot movements to new situations. In Robotics: Science and Systems (R:SS), 2010. [ bib | .pdf ]

Katharina Muelling, Jens Kober, and Jan Peters. Learning table tennis with a mixture of motor primitives. In 10th IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), pages 411-416, 2010. [ bib | .pdf ]

Katharina Muelling, Jens Kober, and Jan Peters. A biomimetic approach to robot table tennis. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1921-1926, 2010. [ bib | http ]

Katharina Muelling, Jens Kober, and Jan Peters. Simulating human table tennis with a biomimetic robot setup. In From Animals to Animats 11, International Conference on the Simulation of Adaptive Behavior (SAB), pages 273-282, 2010. [ bib | .pdf ]

Jan Peters, Katharina Muelling, and Jens Kober. Experiments with motor primitives to learn table tennis. In 12th International Symposium on Experimental Robotics (ISER), 2010. [ bib | http ]

Silvia Chiappa, Jens Kober, and Jan Peters. Using Bayesian dynamical systems for motion template libraries. In Advances in Neural Information Processing Systems 22 (NIPS 2008), pages 297-304, Cambridge, MA, 2009. MIT Press. [ bib | .pdf ]

Manuel Gomez-Rodriguez, Jens Kober, and Bernhard Schölkopf. Denoising photographs using dark frames optimized by quadratic programming. In 1st IEEE International Conference on Computational Photography (ICCP), pages 1-9, 2009. [ bib | .pdf ]

Jens Kober and Jan Peters. Learning new basic movements for robotics. In Autonome Mobile Systeme (AMS), pages 105-112, 2009. [ bib | .pdf ]

Jens Kober and Jan Peters. Learning motor primitives for robotics. In IEEE International Conference on Robotics and Automation (ICRA), pages 2112-2118, 2009. [ bib | .pdf ]

Jens Kober and Jan Peters. Policy search for motor primitives in robotics. In Advances in Neural Information Processing Systems 22 (NIPS 2008), pages 849-856, Cambridge, MA, 2009. MIT Press. [ bib | .pdf ]

Jan Peters and Jens Kober. Using reward-weighted imitation for robot reinforcement learning. In IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), pages 226-232, 2009. [ bib | .pdf ]

Jan Peters, Jens Kober, Katharina Muelling, Duy Nguyen-Tuong, and Oliver Kroemer. Towards motor skill learning for robotics. In International Symposium on Robotics Research (ISRR), Invited Paper, pages 469-482, 2009. [ bib | .pdf ]

Jens Kober, Betty Mohler, and Jan Peters. Learning perceptual coupling for motor primitives. In IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), pages 834-839, 2008. [ bib | .pdf ]

Jens Kober and Jan Peters. Reinforcement learning of perceptual coupling for motor primitives. In European Workshop on Reinforcement Learning (EWRL), 2008. [ bib ]

Jan Peters, Jens Kober, and Duy Nguyen-Tuong. Policy learning - a unified perspective with applications in robotics. In European Workshop on Reinforcement Learning (EWRL), pages 220-228, 2008. [ bib | .pdf ]

Books, book chapters and theses

Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, Drew Bagnell, and Stefan Schaal. Springer Handbook of Robotics, 2nd Edition, chapter Robot Learning, pages 357-394. Springer International Publishing, 2017. [ bib | http ]

Jens Kober and Jan Peters. Learning Motor Skills - From Algorithms to Robot Experiments, volume 97 of Springer Tracts in Advanced Robotics (STAR Series). Springer, 2014. [ bib | http ]

Jens Kober. Learning Motor Skills: From Algorithms to Robot Experiments. PhD thesis, Technische Universität Darmstadt, 2012. [ bib | .pdf ]

Jens Kober and Jan Peters. Reinforcement Learning - State-of-the-Art, volume 12 of Adaptation, Learning, and Optimization, chapter Reinforcement Learning in Robotics: A Survey, pages 579-610. Springer, 2012. [ bib | http ]

Jens Kober, Betty Mohler, and Jan Peters. From Motor Learning to Interaction Learning in Robots, volume 264 of Studies in Computational Intelligence, chapter Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling, pages 209-225. Springer Verlag, 2010. [ bib | .pdf ]

Jens Kober. Reinforcement learning for motor primitives. Master's thesis, University of Stuttgart, 2008. [ bib | .pdf ]


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