Deep learning


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 ]

Learning to sequence motor skills


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 ]
with a longer version in
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, 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 ]

Learning to generalize motor skills


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 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 ]
and
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 ]
with a longer version in
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 ]


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 ]
with a longer version in
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, 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 ]

Learning individual motor skills


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

Others


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 ]