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
5182011
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
4702013
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
2832015
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
269*2017
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2132009
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
1352010
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
1312011
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
1262015
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1232009
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
1002013
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
932016
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
812011
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
792013
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
762015
State-Space Inference and Learning with Gaussian Processes
RD Turner, MP Deisenroth, CE Rasmussen
International Conference on Artificial Intelligence and Statistics, 868-875, 2010
702010
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
652016
Multi-Task Policy Search for Robotics
MP Deisenroth, P Englert, J Peters, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2014
652014
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NIPS), 2017
572017
Approximate dynamic programming with Gaussian processes
MP Deisenroth, J Peters, CE Rasmussen
American Control Conference, 2008, 4480-4485, 2008
532008
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
512011
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