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 | 221 | 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 | 184 | 2016 |
How to discount deep reinforcement learning: Towards new dynamic strategies V François-Lavet, R Fonteneau, D Ernst arXiv preprint arXiv:1512.02011, 2015 | 142 | 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 | 78 | 2013 |
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 | 68 | 2018 |
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 | 55 | 2020 |
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 | 53 | 2012 |
Artificial intelligence in video games: Towards a unified framework F Safadi, R Fonteneau, D Ernst International Journal of Computer Games Technology 2015 (1), 271296, 2015 | 42 | 2015 |
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 | 40 | 2014 |
Policy search in a space of simple closed-form formulas: Towards interpretability of reinforcement learning F Maes, R Fonteneau, L Wehenkel, D Ernst Discovery Science: 15th International Conference, DS 2012, Lyon, France …, 2012 | 40 | 2012 |
On overfitting and asymptotic bias in batch reinforcement learning with partial observability V François-Lavet, G Rabusseau, J Pineau, D Ernst, R Fonteneau Journal of Artificial Intelligence Research 65, 1-30, 2019 | 34 | 2019 |
Critical time windows for renewable resource complementarity assessment M Berger, D Radu, R Fonteneau, R Henry, M Glavic, X Fettweis, M Le Du, ... Energy 198, 117308, 2020 | 33 | 2020 |
Model-free Monte Carlo-like policy evaluation R Fonteneau, S Murphy, L Wehenkel, D Ernst Thirteenth International Conference on Artificial Intelligence and …, 2010 | 33 | 2010 |
Complementarity assessment of south Greenland katabatic flows and West Europe wind regimes D Radu, M Berger, R Fonteneau, S Hardy, X Fettweis, M Le Du, ... Energy 175, 393-401, 2019 | 29 | 2019 |
Foreseeing new control challenges in electricity prosumer communities F Olivier, D Marulli, D Ernst, R Fonteneau The 10th Bulk Power Systems Dynamics and Control Symposium–IREP’2017, 2017 | 27 | 2017 |
Optimistic planning for belief-augmented Markov decision processes R Fonteneau, L Busoniu, R Munos IEEE International Symposium on Adaptive Dynamic Programming and …, 2013 | 26 | 2013 |
Imitative learning for real-time strategy games Q Gemine, F Safadi, R Fonteneau, D Ernst IEEE Conference of Computational Intelligence and Games, 2012 | 24 | 2012 |
Network tariffs and the integration of prosumers: The case of Wallonia MM de Villena, J Jacqmin, R Fonteneau, A Gautier, D Ernst Energy Policy 150, 112065, 2021 | 23 | 2021 |
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 9781498719704, 2016 | 22 | 2016 |
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 | 21 | 2009 |