Jens Kober
Jens Kober
Associate Professor, CoR, TU Delft
Verified email at tudelft.nl - Homepage
TitleCited byYear
Reinforcement learning in robotics: A survey
J Kober, JA Bagnell, J Peters
The International Journal of Robotics Research 32 (11), 1238-1274, 2013
12722013
Policy search for motor primitives in robotics
J Kober, J Peters
Machine Learning 84 (1-2), 171-203, 2011
732*2011
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
2862013
Relative entropy inverse reinforcement learning
A Boularias, J Kober, J Peters
Journal of Machine Learning Research-Proceedings Track (AIStats) 15, 182-189, 2011
1972011
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
1622012
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
1622010
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
1272010
A biomimetic approach to robot table tennis
K Mülling, J Kober, J Peters
Adaptive Behavior 19 (5), 359-376, 2011
1012011
A biomimetic approach to robot table tennis
K Mulling, J Kober, J Peters
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International …, 2010
1012010
Imitation and reinforcement learning
J Kober, J Peters
Robotics & Automation Magazine, IEEE 17 (2), 55-62, 2010
982010
Learning perceptual coupling for motor primitives
J Kober, B Mohler, J Peters
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
852008
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
792010
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
512012
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
372015
Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations
S Manschitz, J Kober, M Gienger, J Peters
Robotics and Autonomous Systems 74, 97-107, 2015
302015
Learning to sequence movement primitives from demonstrations
S Manschitz, J Kober, M Gienger, J Peters
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
262014
Using Bayesian dynamical systems for motion template libraries
S Chiappa, J Kober, JR Peters
Advances in Neural Information Processing Systems, 297-304, 2009
262009
Learning motor skills: from algorithms to robot experiments
J Kober, J Peters
Springer, 2013
212013
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
202018
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
192018
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