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Number of items: 9.

Calandra, R. and Peters, J. and Rasmussen, C. E. and Deisenroth, M. P. (2016):
Manifold Gaussian Processes for Regression.
In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), [Online-Edition: http://arxiv.org/pdf/1402.5876v4],
[Conference or Workshop Item]

Deisenroth, M. P. and Fox, D. and Rasmussen, C. E. (2014):
Gaussian Processes for Data-Efficient Learning in Robotics and Control.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, [Online-Edition: http://www.doc.ic.ac.uk/~mpd37/publications/pami_final_w_app...],
[Article]

Bischoff, B. and Nguyen-Tuong, D. and van Hoof, A. and Rasmussen, C. E. and Knoll, A. and Peters, J. and Deisenroth, M. P. (2014):
Policy Search For Learning Robot Control Using Sparse Data.
In: Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=690...],
[Conference or Workshop Item]

Deisenroth, M. P. and Turner, R. and Huber, M. and Hanebeck, U. D. and Rasmussen, C. E. (2012):
Robust Filtering and Smoothing with Gaussian Processes.
In: IEEE Transactions on Automatic Control, IEEE, pp. 1865-1871, 57, (7), ISSN 0018-9286,
[Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditP...],
[Article]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2009):
Gaussian Process Dynamic Programming.
In: Neurocomputing, pp. 1508-1524, (72(7-9)), [Article]

Deisenroth, M. P. and Peters, J. and Rasmussen, C. E. (2008):
Approximate Dynamic Programming with Gaussian Processes.
In: American Control Conference, Seattle, Washington, Friday, June 11-13, 2008, [Online-Edition: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=458...],
[Conference or Workshop Item]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2008):
Model-Based Reinforcement Learning with Continuous States and Actions.
In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), [Conference or Workshop Item]

Deisenroth, M. P. and Rasmussen, C. E. and Peters, J. (2008):
Model-Based Reinforcement Learning with Continuous States and Actions.
In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23-25, 2008, [Online-Edition: http://robot-learning.de/uploads/Publications/deisenroth_ESA...],
[Conference or Workshop Item]

Görür, D. and Jäkel, F. and Rasmussen, C. E. (2006):
A Choice Model with Infinitely Many Latent Features.
Pittsburgh, PA, In: Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, [Online-Edition: https://dl.acm.org/citation.cfm?id=1143890],
[Conference or Workshop Item]

This list was generated on Sat Aug 17 01:49:56 2019 CEST.