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Vincent Mai
Vincent Mai
Institut de recherche d'Hydro-Québec, IREQ
Verified email at hydroquebec.com
Title
Cited by
Cited by
Year
Artificial intelligence and ethics in dentistry: a scoping review
CM Mörch, S Atsu, W Cai, X Li, SA Madathil, X Liu, V Mai, F Tamimi, ...
Journal of dental research 100 (13), 1452-1460, 2021
562021
Deep active localization
SK Gottipati, K Seo, D Bhatt, V Mai, K Murthy, L Paull
IEEE Robotics and Automation Letters 4 (4), 4394-4401, 2019
432019
Sample efficient deep reinforcement learning via uncertainty estimation
V Mai, K Mani, L Paull
arXiv preprint arXiv:2201.01666, 2022
312022
Local positioning system using UWB range measurements for an unmanned blimp
V Mai, M Kamel, M Krebs, A Schaffner, D Meier, L Paull, R Siegwart
IEEE Robotics and Automation Letters 3 (4), 2971-2978, 2018
232018
The role of robotics in achieving the united nations sustainable development goals—the experts’ meeting at the 2021 IEEE/RSJ IROS workshop [industry activities]
V Mai, B Vanderborght, T Haidegger, A Khamis, N Bhargava, DBO Boesl, ...
IEEE Robotics & Automation Magazine 29 (1), 92-107, 2022
20*2022
Automating the achievement of SDGs: Robotics enabling & inhibiting the accomplishment of the SDGs
DBO Boesl, T Haidegger, A Khamis, V Mai, C Mörch
The UN Interagency Task Team on Science, Technology and Innovation for the …, 2021
142021
Robotics: enabler and inhibitor of the sustainable development goals
T Haidegger, V Mai, CM Mörch, DO Boesl, A Jacobs, A Khamis, L Lach, ...
Sustainable Production and Consumption 43, 422-434, 2023
62023
Multi-agent reinforcement learning for renewable integration in the electric power grid
V Mai, T Zhang, A Lesage-Landry
Proc. of NeurlPS, 2021
42021
Batch inverse-variance weighting: Deep heteroscedastic regression
V Mai, W Khamies, L Paull
arXiv preprint arXiv:2107.04497, 2021
32021
Le dialogue inclusif sur l’éthique de l’IA: délibération en ligne citoyenne et internationale pour l’UNESCO
P Noiseau, C Lanteigne, LF Echaiz, FGG Salazar, V Mai, MA Dilhac, ...
Communication, technologies et développement, 2021
32021
Multi-agent reinforcement learning for fast-timescale demand response of residential loads
V Mai, P Maisonneuve, T Zhang, H Nekoei, L Paull, A Lesage-Landry
Machine Learning, 1-32, 2023
12023
Multi-agent reinforcement learning for fast-timescale demand response of residential loads (Nov, 10.1007/s10994-023-06460-4, 2023)
V Mai, P Maisonneuve, T Zhang, H Nekoei, L Paull, A Lesage-Landry
MACHINE LEARNING, 2024
2024
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads
V Mai, P Maisonneuve, T Zhang, H Nekoei, L Paull, A Lesage-Landry
Machine Learning, 1-1, 2024
2024
Reinforcement learning applied to the real world: uncertainty, sample efficiency, and multi-agent coordination
V Mai
2023
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