Raphael Fonteneau
Raphael Fonteneau
Researcher @ University of Liège, Liège, Belgium
Dirección de correo verificada de ulg.ac.be - Página principal
Citado por
Citado por
Reinforcement learning for electric power system decision and control: Past considerations and perspectives
M Glavic, R Fonteneau, D Ernst
IFAC-PapersOnLine 50 (1), 6918-6927, 2017
Deep reinforcement learning solutions for energy microgrids management
V François-Lavet, D Taralla, D Ernst, R Fonteneau
European Workshop on Reinforcement Learning (EWRL 2016), 2016
How to discount deep reinforcement learning: Towards new dynamic strategies
V François-Lavet, R Fonteneau, D Ernst
arXiv preprint arXiv:1512.02011, 2015
Batch mode reinforcement learning based on the synthesis of artificial trajectories
R Fonteneau, SA Murphy, L Wehenkel, D Ernst
Annals of Operations Research 208 (1), 383-416, 2013
Learning exploration/exploitation strategies for single trajectory reinforcement learning
M Castronovo, F Maes, R Fonteneau, D Ernst
European Workshop on Reinforcement Learning (EWRL 2012), 2012
Mathematical modeling of HIV dynamics after antiretroviral therapy initiation: a review
PS Rivadeneira, CH Moog, GB Stan, C Brunet, F Raffi, V Ferré, ...
BioResearch open access 3 (5), 233-241, 2014
Phase identification of smart meters by clustering voltage measurements
F Olivier, A Sutera, P Geurts, R Fonteneau, D Ernst
2018 Power Systems Computation Conference (PSCC), 1-8, 2018
Model-free Monte Carlo-like policy evaluation
R Fonteneau, S Murphy, L Wehenkel, D Ernst
Thirteenth International Conference on Artificial Intelligence and …, 2010
Artificial intelligence in video games: Towards a unified framework
F Safadi, R Fonteneau, D Ernst
International Journal of Computer Games Technology 2015, 2015
Policy search in a space of simple closed-form formulas: Towards interpretability of reinforcement learning
F Maes, R Fonteneau, L Wehenkel, D Ernst
International Conference on Discovery Science, 37-51, 2012
Optimistic planning for belief-augmented Markov decision processes
R Fonteneau, L Busoniu, R Munos
IEEE International Symposium on Adaptive Dynamic Programming and …, 2013
Modelling the influence of activation-induced apoptosis of CD4+ and CD8+ T-cells on the immune system response of a HIV-infected patient
GB Stan, F Belmudes, R Fonteneau, F Zeggwagh, MA Lefebvre, ...
IET Systems Biology 2 (2), 94-102, 2008
Inferring bounds on the performance of a control policy from a sample of trajectories
R Fonteneau, S Murphy, L Wehenkel, D Ernst
2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2009
Variable selection for dynamic treatment regimes: a reinforcement learning approach
R Fonteneau, L Wehenkel, D Ernst
European Workshop on Reinforcement Learning (EWRL 2008), Villeneuve d'Ascq …, 2008
Imitative learning for real-time strategy games
Q Gemine, F Safadi, R Fonteneau, D Ernst
IEEE Conference of Computational Intelligence and Games, 2012
Foreseeing new control challenges in electricity prosumer communities
F Olivier, D Marulli, D Ernst, R Fonteneau
Proc. of the 10th Bulk Power Systems Dynamics and Control Symposium–IREP’2017, 2017
Towards the minimization of the levelized energy costs of microgrids using both long-term and short-term storage devices
V François-Lavet, Q Gemine, D Ernst, R Fonteneau
Smart Grid: Networking, Data Management, and Business Models, 295-319, 2016
A cautious approach to generalization in reinforcement learning
R Fonteneau, S Murphy, L Wehenkel, D Ernst
Second International Conference on Agents and Artificial Intelligence …, 2010
The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies
M Berger, D Radu, R Fonteneau, T Deschuyteneer, G Detienne, D Ernst
Electric Power Systems Research 180, 106039, 2020
An optimistic posterior sampling strategy for Bayesian reinforcement learning
R Fonteneau, N Korda, R Munos
NIPS 2013 Workshop on Bayesian Optimization (BayesOpt2013), 2013
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