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Marc Deisenroth
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Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
1924*2017
PILCO: A model-based and data-efficient approach to policy search
MP Deisenroth, CE Rasmussen
International Conference on Machine Learning (ICML), 465-472, 2011
14402011
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
10002013
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
6022015
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NeurIPS), 2017
3112017
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
2912015
Mathematics for Machine Learning
MP Deisenroth, AA Faisal, CS Ong
Cambridge University Press, 2020
2872020
Bayesian optimization for learning gaits under uncertainty
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76 (1), 5-23, 2016
2592016
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2542009
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
2522011
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
2212016
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
2192010
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
S Kamthe, MP Deisenroth
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
1792018
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
1682015
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
1672013
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1632009
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
1302013
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
1282017
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
1232011
Multi-Task Policy Search for Robotics
MP Deisenroth, P Englert, J Peters, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2014
1182014
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