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Number of items: 24.

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Ai Poh, L. ; Vadakkepat, V. ; Neumann, G. (2017):
Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills.
In: Artificial Intelligence, 247, pp. 415-439. ISSN 0004-3702,
[Article]

Calandra, R. ; Peters, J. ; Rasmussen, C. E. ; Deisenroth, M. P. (2016):
Manifold Gaussian Processes for Regression.
In: Proceedings of the International Joint Conference on Neural Networks (IJCNN),
[Conference or Workshop Item]

Haji-Ghassemi, N. ; Deisenroth, M. P. (2014):
Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes.
In: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS),
[Conference or Workshop Item]

Calandra, R. ; Gopalan, N. ; Seyfarth, A. ; Peters, J. ; Deisenroth, M. P.
Pardalos, P. M. (ed.) (2014):
Bayesian Gait Optimization for Bipedal Locomotion.
In: Proceedings of the 2014 Learning and Intelligent Optimization Conference (LION8),
Gainesville, FL, February 16-21, [Conference or Workshop Item]

Calandra, R. ; Seyfarth, A. ; Peters, J. ; Deisenroth, M. P. (2014):
An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

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, [Article]

Deisenroth, M. P. ; Englert, P. ; Peters, J. ; Fox, D. (2014):
Multi-Task Policy Search for Robotics.
Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong,, May 31 - June 7, 2014, [Conference or Workshop Item]

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), [Conference or Workshop Item]

Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. ; Neumann, G. (2013):
Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
Proceedings of the National Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 14–18 July 2013, [Conference or Workshop Item]

Gopalan, N. ; Deisenroth, M. P. ; Peters, J. (2013):
Feedback Error Learning for Rhythmic Motor Primitives.
IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Conference or Workshop Item]

Neumann, G. ; Kupcsik, A. G. ; Deisenroth, M. P. ; Peters, J. (2013):
Information-Theoretic Motor Skill Learning.
WS-13-10, In: AAAI Workshop - Technical Report,
AAAI Press, 2013 AAAI Workshop, Bellevue, WA, USA, [Conference or Workshop Item]

Englert, P. ; Paraschos, A. ; Peters, J. ; Deisenroth, M. P. (2013):
Model-based Imitation Learning by Probabilistic Trajectory Matching.
IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, May 6-10, 2013, [Conference or Workshop Item]

Englert, P. ; Paraschos, A. ; Peters, J. ; Deisenroth, M. P. (2013):
Probabilistic Model-based Imitation Learning.
In: Adaptive Behavior Journal, pp. 388-403. [Article]

Wang, Z. ; Muelling, K. ; Deisenroth, M. P. ; Ben Amor, H. ; Vogt, D. ; Schoelkopf, B. ; Peters, J. (2013):
Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction.
In: International Journal of Robotics Research (IJRR)",, (7), pp. 841-858. [Article]

Deisenroth, M. P. ; Neumann, G. ; Peters, J. (2013):
A Survey on Policy Search for Robotics.
In: Foundations and Trends in Robotics, 2 (1-2), pp. 388-403. Foundations and Trends R © in Robotics Vol. 2, Nos. 1–2 (2011) 1–142 c ©, DOI: 10.1561/2300000021,
[Article]

Deisenroth, M. P. ; Mohamed, S. (2012):
Expectation Propagation in Gaussian Process Dynamical Systems.
mit press, Advances in Neural Information Processing Systems 26 (NIPS), Cambridge, MA: MIT Press., Lake Tahoe, Nevada, December 3-8, 2012, [Conference or Workshop Item]

Calandra, R. ; Raiko, T. ; Deisenroth, M. P. ; Montesino Pouzols, F. (2012):
Learning Deep Belief Networks from Non-Stationary Streams.
International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

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), pp. 1865-1871. IEEE, ISSN 0018-9286,
[Article]

Deisenroth, M. P. ; Peters, J. (2012):
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise.
Proceedings of the European Workshop on Reinforcement Learning (EWRL), [Conference or Workshop Item]

Deisenroth, M. P. ; Calandra, R. ; Seyfarth, A. ; Peters, J. (2012):
Toward Fast Policy Search for Learning Legged Locomotion.
Proceedings of the International Conference on Robot Systems (IROS), Vilamoura, Algarve, Portugal, October 7-12, 2012, [Conference or Workshop Item]

Deisenroth, M. P. ; Rasmussen, C. E. ; Peters, J. (2009):
Gaussian Process Dynamic Programming.
In: doi: 10.1016/j.neucom.2008.12.019, In: Neurocomputing, (72(7-9)), pp. 1508-1524. [Article]

Deisenroth, M. P. ; Peters, J. ; Rasmussen, C. E. (2008):
Approximate Dynamic Programming with Gaussian Processes.
American Control Conference, Seattle, Washington, Friday, June 11-13, 2008, [Conference or Workshop Item]

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), [Conference or Workshop Item]

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, April 23-25, 2008, [Conference or Workshop Item]

This list was generated on Tue May 24 04:12:52 2022 CEST.