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Omar Darwiche Domingues
Omar Darwiche Domingues
Owkin
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Episodic reinforcement learning in finite mdps: Minimax lower bounds revisited
OD Domingues, P Ménard, E Kaufmann, M Valko
Algorithmic Learning Theory, 578-598, 2021
1102021
Fast active learning for pure exploration in reinforcement learning
P Ménard, OD Domingues, A Jonsson, E Kaufmann, E Leurent, M Valko
International Conference on Machine Learning, 7599-7608, 2021
972021
Adaptive reward-free exploration
E Kaufmann, P Ménard, OD Domingues, A Jonsson, E Leurent, M Valko
Algorithmic Learning Theory, 865-891, 2021
892021
Kernel-based reinforcement learning: A finite-time analysis
OD Domingues, P Ménard, M Pirotta, E Kaufmann, M Valko
International Conference on Machine Learning, 2783-2792, 2021
48*2021
Ucb momentum q-learning: Correcting the bias without forgetting
P Ménard, OD Domingues, X Shang, M Valko
International Conference on Machine Learning, 7609-7618, 2021
412021
Achievable rates of space-division multiplexed submarine links subject to nonlinearities and power feed constraints
OD Domingues, DAA Mello, R da Silva, SÖ Arık, JM Kahn
Journal of lightwave technology 35 (18), 4004-4010, 2017
40*2017
A kernel-based approach to non-stationary reinforcement learning in metric spaces
OD Domingues, P Ménard, M Pirotta, E Kaufmann, M Valko
International Conference on Artificial Intelligence and Statistics, 3538-3546, 2021
382021
Planning in markov decision processes with gap-dependent sample complexity
A Jonsson, E Kaufmann, P Ménard, O Darwiche Domingues, E Leurent, ...
Advances in Neural Information Processing Systems 33, 1253-1263, 2020
292020
Planning in entropy-regularized Markov decision processes and games
JB Grill, O Darwiche Domingues, P Ménard, R Munos, M Valko
Advances in Neural Information Processing Systems 32, 2019
192019
rlberry - A reinforcement learning library for research and education
OD Domingues, Y Flet-Berliac, E Leurent, P Ménard, X Shang, M Valko
GitHub Repository, 2021
172021
Density-based bonuses on learned representations for reward-free exploration in deep reinforcement learning
OD Domingues, C Tallec, R Munos, M Valko
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
82021
Adaptive multi-goal exploration
J Tarbouriech, OD Domingues, P Ménard, M Pirotta, M Valko, A Lazaric
International Conference on Artificial Intelligence and Statistics, 7349-7383, 2022
42022
Multifractal analysis for cumulant-based epileptic seizure detection in EEG time series
O Domingues, P Ciuciu, D Rocca, P Abry, H Wendt
IEEE 16th International Symposium on Biomedical Imaging, 2019
22019
Retinotopy of percepts elicited by an IRIS epi-retinal implant
VJ Bismuth, M Keserue, L Wagenfeld, T Schade, Y Le Mer, ...
Investigative Ophthalmology & Visual Science 58 (8), 4190-4190, 2017
12017
Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients.
B Schmauch, V Cabeli, O Darwiche-Domingues, JE Le Douget, A Hardy, ...
bioRxiv, 2024.06. 14.598991, 2024
2024
Exploration in Reinforcement Learning: Beyond Finite State-Spaces
OD Domingues
Université de Lille, 2022
2022
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Artículos 1–16