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Vincent François-Lavet
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Year
An introduction to deep reinforcement learning
V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau
Foundations and Trends® in Machine Learning, 2018
9202018
Deep reinforcement learning solutions for energy microgrids management
V François-Lavet, D Taralla, D Ernst, R Fonteneau
EWRL 2016, 2016
1382016
How to discount deep reinforcement learning: Towards new dynamic strategies
V François-Lavet, R Fonteneau, D Ernst
Deep Reinforcement Learning Workshop, NIPS 2015, 2015
1042015
Combined Reinforcement Learning via Abstract Representations
V François-Lavet, Y Bengio, D Precup, J Pineau
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
842019
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
J Romoff, A Piché, P Henderson, V Francois-Lavet, J Pineau
Conference on Robot Learning (CoRL 2018), 2018
372018
An energy-based variational model of ferromagnetic hysteresis for finite element computations
V François-Lavet, F Henrotte, L Stainier, L Noels, C Geuzaine
Journal of Computational and Applied Mathematics 246, 243-250, 2013
372013
Study of passive and active attitude control systems for the OUFTI nanosatellites
V Francois-Lavet
University of Liège, Faculty of Applied Sciences, Belgium, 2010
362010
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
232019
Novelty Search in representational space for sample efficient exploration
RY Tao, V François-Lavet, J Pineau
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
212020
Optimizing Home Energy Management and Electric Vehicle Charging with Reinforcement Learning
D Wu, G Rabusseau, V François-lavet, D Precup, B Boulet
ALA 2018, 2018
212018
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
212016
Vectorial incremental nonconservative consistent hysteresis model
V François-Lavet, F Henrotte, L Stainier, L Noels, C Geuzaine
5th International Conference on Advanded COmputational Methods in …, 2011
212011
Simple connectome inference from partial correlation statistics in calcium imaging
A Sutera, A Joly, V François-Lavet, A Qiu, G Louppe, D Ernst, P Geurts
Neural Connectomics Workshop, 23-35, 2015
182015
Contributions to deep reinforcement learning and its applications in smartgrids
V François-Lavet
ULiège-Université de Liège [HEC], 2017
172017
An introduction to deep reinforcement learning. arXiv 2018
V Francois-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau
arXiv preprint arXiv:1811.12560, 0
17
Domain Adversarial Reinforcement Learning
B Li, V François-Lavet, T Doan, J Pineau
Deep RL workshop, NeurIPS 2020, 2021
102021
Neural architecture search for class-incremental learning
S Huang, V François-Lavet, G Rabusseau
arXiv preprint arXiv:1909.06686, 2019
102019
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device
V François-Lavet, R Fonteneau, D Ernst
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
92014
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
A Majid, S Saaybi, T van Rietbergen, V Francois-Lavet, RV Prasad, ...
TechRxiv, 2021
82021
Reinforcement Learning for Radiotherapy Dose Fractioning Automation
G Moreau, V François-Lavet, P Desbordes, B Macq
Biomedicines 9 (2), 214, 2021
82021
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