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Marc Deisenroth
Marc Deisenroth
Other namesMarc Peter Deisenroth, Marc P. Deisenroth
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
4691*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
20542011
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
12792013
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
8702015
Mathematics for Machine Learning
MP Deisenroth, AA Faisal, CS Ong
Cambridge University Press, 2020
8592020
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NeurIPS), 2017
4962017
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
4372015
Bayesian optimization for learning gaits under uncertainty: An experimental comparison on a dynamic bipedal walker
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76, 5-23, 2016
3872016
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International joint conference on neural networks (IJCNN), 3338-3345, 2016
3602016
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
3212011
Maximizing acquisition functions for Bayesian optimization
JT Wilson, F Hutter, MP Deisenroth
Neural Information Processing Systems (NeurIPS), 2018
3032018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
S Kamthe, MP Deisenroth
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
2982018
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2862009
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
2782010
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
2292015
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
2092017
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
1972013
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1842009
Meta Reinforcement Learning with Latent Variable Gaussian Processes
S Sæmundsson, K Hofmann, MP Deisenroth
Uncertainty in Artificial Intelligence (UAI), 2018
1772018
Efficiently Sampling Functions from Gaussian Process Posteriors
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
International Conference on Machine Learning (ICML), 2020
1702020
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