Jens Kober

According to our database1, Jens Kober authored at least 62 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Online presence:

On csauthors.net:

Bibliography

2020
Learning Sequential Force Interaction Skills.
Robotics, 2020

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback.
IEEE Robotics Autom. Mag., 2020

Deep Learning and Machine Learning in Robotics [From the Guest Editors].
IEEE Robotics Autom. Mag., 2020

DeepKoCo: Efficient latent planning with an invariant Koopman representation.
CoRR, 2020

Interactive Imitation Learning in State-Space.
CoRR, 2020

Predicting and Optimizing Ergonomics in Physical Human-Robot Cooperation Tasks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Robot Technology in Analyzing Tooth Removal - a Proof of Concept.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Reinforcement learning of motor skills using Policy Search and human corrective advice.
Int. J. Robotics Res., 2019

Reinforcement learning based compensation methods for robot manipulators.
Eng. Appl. Artif. Intell., 2019

Learning Gaussian Policies from Corrective Human Feedback.
CoRR, 2019

A fast hybrid reinforcement learning framework with human corrective feedback.
Auton. Robots, 2019

Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach.
Proceedings of the International Conference on Robotics and Automation, 2019

Deep Reinforcement Learning with Feedback-based Exploration.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed.
Proceedings of the 2019 American Control Conference, 2019

Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018
Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations.
IEEE Robotics Autom. Lett., 2018

Experience Selection in Deep Reinforcement Learning for Control.
J. Mach. Learn. Res., 2018

Reinforcement learning for control: Performance, stability, and deep approximators.
Annu. Rev. Control., 2018

Head-tracked off-axis perspective projection improves gaze readability of 3D virtual avatars.
Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Human-Robot Cooperative Object Manipulation with Contact Changes.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2016
Robot Learning.
Proceedings of the Springer Handbook of Robotics, 2016

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Improved deep reinforcement learning for robotics through distribution-based experience retention.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning state representation for deep actor-critic control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations.
Robotics Auton. Syst., 2015

Probabilistic progress prediction and sequencing of concurrent movement primitives.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning movement primitives for force interaction tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Learning Motor Skills - From Algorithms to Robot Experiments
Springer Tracts in Advanced Robotics 97, Springer, ISBN: 978-3-319-03193-4, 2014

Learning motor skills: from algorithms to robot experiments.
it Inf. Technol., 2014

Learning to sequence movement primitives from demonstrations.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013
Learning to select and generalize striking movements in robot table tennis.
Int. J. Robotics Res., 2013

Reinforcement learning in robotics: A survey.
Int. J. Robotics Res., 2013

Towards Robot Skill Learning: From Simple Skills to Table Tennis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Learning motor skills: from algorithms to robot experiments (Lernen motorischer Fähigkeiten).
PhD thesis, 2012

Learning Prioritized Control of Motor Primitives
CoRR, 2012

Reinforcement learning to adjust parametrized motor primitives to new situations.
Auton. Robots, 2012

Learning throwing and catching skills.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Playing catch and juggling with a humanoid robot.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Lernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten.
Proceedings of the Ausgezeichnete Informatikdissertationen 2012, 2012

Robot Skill Learning.
Proceedings of the ECAI 2012, 2012

Reinforcement Learning in Robotics: A Survey.
Proceedings of the Reinforcement Learning, 2012

2011
Policy search for motor primitives in robotics.
Mach. Learn., 2011

Relative Entropy Inverse Reinforcement Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A biomimetic approach to robot table tennis.
Adapt. Behav., 2011

Learning elementary movements jointly with a higher level task.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Imitation and Reinforcement Learning.
IEEE Robotics Autom. Mag., 2010

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills).
Autom., 2010

Simulating Human Table Tennis with a Biomimetic Robot Setup.
Proceedings of the From Animals to Animats 11, 2010

Reinforcement Learning to adjust Robot Movements to New Situations.
Proceedings of the Robotics: Science and Systems VI, 2010

Experiments with Motor Primitives in Table Tennis.
Proceedings of the Experimental Robotics, 2010

Movement templates for learning of hitting and batting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Learning table tennis with a Mixture of Motor Primitives.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009
Policy Search for Motor Primitives.
Künstliche Intell., 2009

Towards Motor Skill Learning for Robotics.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Learning motor primitives for robotics.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Learning New Basic Movements for Robotics.
Proceedings of the Autonome Mobile Systeme 2009, 2009

Using reward-weighted imitation for robot Reinforcement Learning.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Using Bayesian Dynamical Systems for Motion Template Libraries.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning perceptual coupling for motor primitives.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Policy Learning - A Unified Perspective with Applications in Robotics.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008


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