| An application of deep reinforcement learning to algorithmic trading T Théate, D Ernst Expert Systems with Applications 173, 114632, 2021 | 150 | 2021 |
| A deep reinforcement learning framework for continuous intraday market bidding I Boukas, D Ernst, T Théate, A Bolland, A Huynen, M Buchwald, ... Machine Learning 110, 2335-2387, 2021 | 55 | 2021 |
| Risk-sensitive policy with distributional reinforcement learning T Théate, D Ernst Algorithms 16 (7), 325, 2023 | 7 | 2023 |
| Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis T Théate, A Sutera, D Ernst Energy Reports 9, 2453-2462, 2023 | 6 | 2023 |
| An artificial intelligence solution for electricity procurement in forward markets T Théate, S Mathieu, D Ernst Energies 13 (23), 6435, 2020 | 6 | 2020 |
| Distributional reinforcement learning with unconstrained monotonic neural networks T Théate, A Wehenkel, A Bolland, G Louppe, D Ernst Neurocomputing 534, 199-219, 2023 | 3 | 2023 |
| Artificial Intelligence Techniques for Decision-Making in Market Environments T Théate ULiège-Université de Liège [Faculté des Sciences Appliquées], Liège, Belgium, 2023 | | 2023 |
| Artificial intelligence application for automatic cameras piloting T Théate Université de Liège, Liège, Belgique, 2018 | | 2018 |
Damien ErnstProfessor of Electrical Engineering and Computer Science, ULiège - University of LiègeAdresse e-mail validée de ulg.ac.be
