Suivre
Marc Deisenroth
Marc Deisenroth
Autres nomsMarc Peter Deisenroth, Marc P. Deisenroth
University College London and Google DeepMind
Adresse e-mail validée de ucl.ac.uk - Page d'accueil
Titre
Citée par
Citée par
Année
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
5029*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
21352011
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
12952013
Mathematics for Machine Learning
MP Deisenroth, AA Faisal, CS Ong
Cambridge University Press, 2020
9242020
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
8932015
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NeurIPS), 2017
5102017
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
4472015
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
4032016
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International joint conference on neural networks (IJCNN), 3338-3345, 2016
3702016
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
3282011
Maximizing acquisition functions for Bayesian optimization
JT Wilson, F Hutter, MP Deisenroth
Neural Information Processing Systems (NeurIPS), 2018
3132018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
S Kamthe, MP Deisenroth
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
3102018
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
2872010
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2872009
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
2382015
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
2112017
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
2022013
Meta Reinforcement Learning with Latent Variable Gaussian Processes
S Sæmundsson, K Hofmann, MP Deisenroth
Uncertainty in Artificial Intelligence (UAI), 2018
1852018
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1852009
High-Dimensional Bayesian Optimization Using Low-Dimensional Feature Spaces
R Moriconi, MP Deisenroth, KSS Kumar
Machine Learning 109 (9), 1925-1943, 2020
1742020
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