Marc Deisenroth
TitleCited byYear
PILCO: A model-based and data-efficient approach to policy search
MP Deisenroth, CE Rasmussen
International Conference on Machine Learning (ICML), 465-472, 2011
6052011
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
5242013
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
383*2017
Gaussian Processes for Data-Efficient Learning in Robotics and Control
MP Deisenroth, D Fox, CE Rasmussen
Transactions on Pattern Analysis and Machine Intelligence 37 (2), 408-423, 2015
3102015
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2162009
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
1442015
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
1442011
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
1382010
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1302009
Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction
Z Wang, K Mülling, MP Deisenroth, HB Amor, D Vogt, B Schölkopf, ...
International Journal of Robotics Research, 2013
1102013
Bayesian optimization for learning gaits under uncertainty
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76 (1-2), 5-23, 2016
1032016
Data-efficient generalization of robot skills with contextual policy search
AG Kupcsik, MP Deisenroth, J Peters, G Neumann
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
872013
Robust filtering and smoothing with Gaussian processes
MP Deisenroth, RD Turner, MF Huber, UD Hanebeck, CE Rasmussen
IEEE Transactions on Automatic Control 57 (7), 1865-1871, 2011
862011
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
832015
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NIPS), 2017
802017
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
802016
State-Space Inference and Learning with Gaussian Processes
RD Turner, MP Deisenroth, CE Rasmussen
International Conference on Artificial Intelligence and Statistics, 868-875, 2010
722010
Multi-Task Policy Search for Robotics
MP Deisenroth, P Englert, J Peters, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2014
692014
Gambit: An autonomous chess-playing robotic system
C Matuszek, B Mayton, R Aimi, MP Deisenroth, L Bo, R Chu, M Kung, ...
2011 IEEE International Conference on Robotics and Automation, 4291-4297, 2011
542011
Approximate dynamic programming with Gaussian processes
MP Deisenroth, J Peters, CE Rasmussen
American Control Conference, 2008, 4480-4485, 2008
522008
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Articles 1–20