Calandra, R. ; Peters, J. ; Rasmussen, C. E. ; Deisenroth, M. P. (2016)
Manifold Gaussian Processes for Regression.
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Fox, D. ; Rasmussen, C. E. (2014)
Gaussian Processes for Data-Efficient Learning in Robotics and Control.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence
Artikel, Bibliographie

Bischoff, B. ; Nguyen-Tuong, D. ; Hoof, H. van ; Rasmussen, C. E. ; Knoll, A. ; Peters, J. ; Deisenroth, M. P. (2014)
Policy Search For Learning Robot Control Using Sparse Data.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Turner, R. ; Huber, M. ; Hanebeck, U. D. ; Rasmussen, C. E. (2012)
Robust Filtering and Smoothing with Gaussian Processes.
In: IEEE Transactions on Automatic Control, 57 (7)
Artikel, Bibliographie

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2009)
Gaussian Process Dynamic Programming.
In: Neurocomputing, (72(7-9))
Artikel, Bibliographie

Deisenroth, M. P. ; Peters, J. ; Rasmussen, C. E. (2008)
Approximate Dynamic Programming with Gaussian Processes.
American Control Conference. Seattle, Washington (11.06.2008-13.06.2008)
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2008)
Model-Based Reinforcement Learning with Continuous States and Actions.
Proceedings of the European Symposium on Artificial Neural Networks (ESANN).
Konferenzveröffentlichung, Bibliographie

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2008)
Model-Based Reinforcement Learning with Continuous States and Actions.
Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008). Bruges, Belgium (23.04.2008-25.04.2008)
Konferenzveröffentlichung, Bibliographie

Görür, D. ; Jäkel, F. ; Rasmussen, C. E. (2006)
A Choice Model with Infinitely Many Latent Features.
Proceedings of the 23rd International Conference on Machine Learning. Pittsburgh, PA
Konferenzveröffentlichung, Bibliographie