 | 2012 |
| 11 |  | Marc Peter Deisenroth,
Ryan Turner,
Marco F. Huber,
Uwe D. Hanebeck,
Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes
CoRR abs/1203.4345: (2012) |
| 2011 |
| 10 |  | Marc Peter Deisenroth,
Carl Edward Rasmussen:
PILCO: A Model-Based and Data-Efficient Approach to Policy Search.
ICML 2011: 465-472 |
| 9 |  | Cynthia Matuszek,
Brian Mayton,
Roberto Aimi,
Marc Peter Deisenroth,
Liefeng Bo,
Robert Chu,
Mike Kung,
Louis LeGrand,
Joshua R. Smith,
Dieter Fox:
Gambit: An autonomous chess-playing robotic system.
ICRA 2011: 4291-4297 |
| 8 |  | Marc Peter Deisenroth,
Carl Edward Rasmussen,
Dieter Fox:
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning.
Robotics: Science and Systems 2011 |
| 2010 |
| 7 |  | Marc Peter Deisenroth,
Henrik Ohlsson:
A Probabilistic Perspective on Gaussian Filtering and Smoothing
CoRR abs/1006.2165: (2010) |
| 6 |  | Ryan Turner,
Marc Peter Deisenroth,
Carl Edward Rasmussen:
State-Space Inference and Learning with Gaussian Processes.
Journal of Machine Learning Research - Proceedings Track 9: 868-875 (2010) |
| 5 |  | Marc Peter Deisenroth:
Efficient reinforcement learning using Gaussian processes.
Karlsruhe Institute of Technology 2010: 1-205 |
| 2009 |
| 4 |  | Marc Peter Deisenroth,
Marco F. Huber,
Uwe D. Hanebeck:
Analytic moment-based Gaussian process filtering.
ICML 2009: 29 |
| 3 |  | Marc Peter Deisenroth,
Carl Edward Rasmussen,
Jan Peters:
Gaussian process dynamic programming.
Neurocomputing 72(7-9): 1508-1524 (2009) |
| 2008 |
| 2 |  | Marc Peter Deisenroth,
Carl Edward Rasmussen,
Jan Peters:
Model-Based Reinforcement Learning with Continuous States and Actions.
ESANN 2008: 19-24 |
| 1 |  | Carl Edward Rasmussen,
Marc Peter Deisenroth:
Probabilistic Inference for Fast Learning in Control.
EWRL 2008: 229-242 |