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Number of items: 12.

Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G. (2018):
Using Probabilistic Movement Primitives in Robotics.
In: Autonomous Robots, pp. 529-551, 42, (3), ISSN 0929-5593,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/AlexandrosParas...],
[Article]

Daniel, C. and Kroemer, O. and Viering, M. and Metz, J. and Peters, J. (2015):
Active Reward Learning with a Novel Acquisition Function.
In: Autonomous Robots, Springer, pp. 389-405, 39, (3), ISSN 0929-5593,
[Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ChristianDaniel...],
[Article]

Parisi, S. and Abdulsamad, H. and Paraschos, A. and Daniel, C. and Peters, J. (2015):
Reinforcement Learning vs Human Programming in Tetherball Robot Games.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SimoneParisi/pa...],
[Conference or Workshop Item]

Kroemer, O. and Daniel, C. and Neumann, G. and van Hoof, H. and Peters, J. (2015):
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Online-Edition: http://],
[Conference or Workshop Item]

Neumann, G. and Daniel, C. and Paraschos, A. and Kupcsik, A. and Peters, J. (2014):
Learning Modular Policies for Robotics.
In: Frontiers in Computational Neuroscience, DOI: 10.3389/fncom.2014.00062,
[Online-Edition: http://www.frontiersin.org/Journal/Abstract.aspx?s=237&name=...],
[Article]

Daniel, C. and Viering, M. and Metz, J. and Kroemer, O. and Peters, J. (2014):
Active Reward Learning.
In: Proceedings of Robotics: Science & Systems (R:SS), [Online-Edition: http://www.ias.tu-darmstadt.de/uploads/Publications/Daniel_R...],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Peters, J. (2013):
Autonomous Reinforcement Learning with Hierarchical REPS.
In: International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, Aug 4, 2013 - Aug 9, 2013, [Conference or Workshop Item]

Daniel, C. and Neumann, G. and Kroemer, O. and Peters, J. (2013):
Learning Sequential Motor Tasks.
In: Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Paraschos, A. and Daniel, C. and Peters, J. and Neumann, G.
Burges, C. J. C. and Bottou, L. and Welling, M. and Ghahramani, Z. and Weinberger, K. Q. (eds.) (2013):
Probabilistic Movement Primitives.
In: Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, 5-10 December 2013, In: Advances in Neural Information Processing Systems, 26, [Online-Edition: https://dblp.org/db/conf/nips/nips2013],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Peters, J. (2012):
Hierarchical Relative Entropy Policy Search.
In: International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, April 21-23, 2012, [Online-Edition: https://www.aistats.org/aistats2012/],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Peters, J. (2012):
Learning Concurrent Motor Skills in Versatile Solution Spaces.
In: Proceedings of the International Conference on Robot Systems (IROS), [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Publicatio...],
[Conference or Workshop Item]

Daniel, C. and Neumann, G. and Kroemer, O. and Peters, J. (2000):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, pp. 1-48, 1, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

This list was generated on Tue Oct 22 01:21:54 2019 CEST.