Interactive Learning


Rodrigo Pérez Dattari, Carlos Celemin, Javier Ruiz Del Solar, and Jens Kober. Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. In IEEE International Conference on Robotics and Automation (ICRA), 2019. [bibtex] [pdf]


Rodrigo Pérez Dattari, Carlos Celemin, Javier Ruiz Del Solar, and Jens Kober. Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. In International Symposium on Experimental Robotics (ISER), 2018. [bibtex] [pdf]


Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober. A Fast Hybrid Reinforcement Learning Framework with Human Corrective Feedback. Autonomous Robots, First Online, 2018. [bibtex] [pdf] [doi]

Human Robot Cooperation


Michael Gienger, Dirk Ruiken, Tamas Bates, Mohamed Regaieg, Michael Meißner, Jens Kober, Philipp Seiwald, and Arne-Christoph Hildebrandt. Human-Robot Cooperative Object Manipulation with Contact Changes. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1354–1360, 2018. [bibtex] [pdf] [doi]


Jens Kober, Matthew Glisson, and Michael Mistry. Playing Catch and Juggling with a Humanoid Robot. In IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), pp. 875–881, 2012. [bibtex] [pdf] [doi]

Deep Reinforcement Learning


Divyam Rastogi, Ivan Koryakovskiy, and Jens Kober. Sample-efficient Reinforcement Learning via Difference Models. In Third Machine Learning in Planning and Control of Robot Motion Workshop at IEEE International Conference on Robotics and Automation (ICRA), 2018. [bibtex] [pdf] [url]


Tim de Bruin, Jens Kober, Karl Tuyls, and Robert Babuška. Experience Selection in Deep Reinforcement Learning for Control. Journal of Machine Learning Research, 19(9):1–56, 2018. [bibtex] [pdf] [url]


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. [bibtex] [pdf]

Learning to Sequence Motor Skills


Simon Manschitz, Michael Gienger, Jens Kober, and Jan Peters. Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations. IEEE Robotics and Automation Letters, 3(2):926–933, 2018. [bibtex] [pdf] [doi]


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. [bibtex] [pdf] [doi]

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), pp. 4414–4421, 2014. [bibtex] [pdf] [doi]


Jens Kober, Michael Gienger, and Jochen J. Steil. Learning Movement Primitives for Force Interaction Tasks. In IEEE International Conference on Robotics and Automation (ICRA), pp. 3192–3199, 2015. [bibtex] [pdf] [doi]

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), pp. 69–82, 2010. [bibtex] [pdf] [doi]


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. [bibtex] [pdf] [doi]

Jens Kober and Jan Peters. Learning Elementary Movements Jointly with a Higher Level Task. In IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), pp. 338–343, 2011. [bibtex] [pdf] [doi]


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. [bibtex] [pdf] [doi]

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, pp. 263–279, 2012. [bibtex] [pdf] [url]


Jens Kober, Katharina Muelling, and Jan Peters. Learning Throwing and Catching Skills. In IEEE/RSJ International Conference on Robot Systems (IROS), Video Track, pp. 5167–5168, 2012. [bibtex] [pdf] [doi]

Learning Individual Motor Skills


Jens Kober and Jan Peters. Policy Search for Motor Primitives in Robotics. Machine Learning, 84(1-2):171–203, 2011. [bibtex] [pdf] [doi]

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. [bibtex] [pdf] [doi]

Jens Kober and Jan Peters. Learning Motor Primitives for Robotics. In IEEE International Conference on Robotics and Automation (ICRA), pp. 2112–2118, 2009. [bibtex] [pdf] [doi]

Jens Kober and Jan Peters. Policy Search for Motor Primitives in Robotics. In Advances in Neural Information Processing Systems 21 (NIPS 2008) (D. Koller, D. Schuurmans, Y. Bengio, L. Bottou, eds.), Curran Associates, Inc., pp. 849–856, 2009. [bibtex] [pdf] [url]

Others


Yudha Prawira Pane, Subramanya Prasad Nageshrao, Jens Kober, and Robert Babuška. Reinforcement Learning Based Compensation Methods for Robot Manipulators. Engineering Applications of Artificial Intelligence, 78:236–247, 2019. [bibtex] [pdf] [doi]