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Journal Article (1)

1.
Journal Article
Deisenroth, M.; Rasmussen, C.; Peters, J.: Gaussian Process Dynamic Programming. Neurocomputing 72 (7-9), pp. 1508 - 1524 (2009)

Conference Paper (7)

2.
Conference Paper
Wang, Z.; Deisenroth, M.; Ben Amor, H.; Vogt, D.; Schölkopf, B.; Peters, J.: Probabilistic Modeling of Human Movements for Intention Inference. In: Robotics: Science and Systems VIII, pp. 433 - 440 (Eds. Roy, N.; Newman, P.; Srinivasa, S.). 2012 Robotics: Science and Systems Conference, Sydney, Australia. MIT Press, Cambridge, MA, USA (2012)
3.
Conference Paper
Turner, R.; Deisenroth, M.; Rasmussen, C.: State-Space Inference and Learning with Gaussian Processes. In: JMLR Workshop and Conference Proceedings, Vol. 9, pp. 868 - 875 (Eds. Teh, Y.; Titterington , M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Sardinia, Italy, May 13, 2010 - May 15, 2010. JMLR, Madison, WI, USA (2010)
4.
Conference Paper
Rasmussen, C.; Deisenroth, M.: Probabilistic Inference for Fast Learning in Control. In: Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, pp. 229 - 242 (Eds. Girgin, S.; Loth, M.; Munos, R.; Preux, P.; Ryabko, D.). 8th European Workshop on Reinforcement Learning (EWRL 2008), Villeneuve d‘Ascq, France, June 30, 2008 - July 03, 2008. Springer, Berlin, Germany (2008)
5.
Conference Paper
Deisenroth, M.; Peters, J.; Rasmussen, C.: Approximate Dynamic Programming with Gaussian Processes. In: 2008 American Control Conference, pp. 4480 - 4485. 2008 American Control Conference (ACC 2008), Seattle, WA, USA, June 11, 2008 - June 13, 2008. IEEE Service Center, Piscataway, NJ, USA (2008)
6.
Conference Paper
Deisenroth, M.; Rasmussen, C.; Peters, J.: Model-Based Reinforcement Learning with Continuous States and Actions. In: Advances in computational intelligence and learning: 16th European Symposium on Artificial Neural Networks, pp. 19 - 24 (Ed. Verleysen, M.). 16th European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, April 23, 2008 - April 25, 2008. d-side, Evere, Belgium (2008)
7.
Conference Paper
Deisenroth, M.; Weissel , F.; Ohtsuka, T.; Hanebeck, U.: Online-Computation Approach to Optimal Control of Noise-Affected Nonlinear Systems with Continuous State and Control Spaces. In: 2007 European Control Conference (ECC), pp. 3664 - 3671. 9th European Control Conference (ECC 2007), Kos, Greece, July 02, 2007 - July 05, 2007. IEEE, Piscataway, NJ, USA (2007)
8.
Conference Paper
Deisenroth, M.; Ohtsuka, T.; Weissel, F.; Brunn, D.; Hanebeck, U.: Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle. In: 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 371 - 376 (Ed. Hanebeck, U.). 6th IEEE International Conference on Multisensor Fusion and Integration (MFI 2006), Heidelberg, Germany, September 03, 2006 - September 06, 2006. IEEE Service Center, Piscataway, NJ, USA (2006)

Thesis - Diploma (1)

9.
Thesis - Diploma
Deisenroth, M.: An Online-Computation Approach to Optimal Finite-Horizon State-Feedback Control of Nonlinear Stochastic Systems. Diploma, 142 pp., Universität Karlsruhe (TH), Karlsruhe, Germany (2006)
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