About
Discord Stateoftheart AI
GitHub

Publications

23

Cited by

502

Vincent François-Lavet

reinforcement learningdeep learningmachine learningartificial intelligence
McGill University

Canada

Papers and Citations

1 - 50
An introduction to deep reinforcement learning
2018
Riashat Islam
Peter Henderson
Marc G. Bellemare
+2
Cited by 390
How to discount deep reinforcement learning: Towards new dynamic strategies
2015
Damien Ernst
Vincent François-Lavet
Raphael Fonteneau
Cited by 74
Deep reinforcement learning solutions for energy microgrids management
2016
David Taralla
Raphael Fonteneau
Damien Ernst
+1
Cited by 70
Combined reinforcement learning via abstract representations
2019
Yoshua Bengio
Joelle Pineau
Vincent François-Lavet
+1
Cited by 43
Towards the minimization of the levelized energy costs of microgrids using both long-term and short-term storage devices
2016
Raphael Fonteneau
Vincent François-Lavet
Quentin Gemine
+1
Cited by 16
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
2019
Damien Ernst
Vincent François-Lavet
Joelle Pineau
+2
Cited by 12
Simple connectome inference from partial correlation statistics in calcium imaging
2015
A Qiu
G Louppe
Pierre Geurts
+4
Cited by 10
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device
2014
Raphael Fonteneau
Damien Ernst
Vincent François-Lavet
Cited by 9
Electricity storage with liquid fuels in a zone powered by 100% variable renewables
2015
JM Christoph
SL Klaus
Vincent François-Lavet
+2
Cited by 5
Imitative learning for online planning in microgrids
2015
S Lodeweyckx
Vincent François-Lavet
Raphael Fonteneau
+2
Cited by 5
Contributions to deep reinforcement learning and its applications in smartgrids
2017
Vincent François-Lavet
Cited by 4
Neural architecture search for class-incremental learning
2019
Guillaume Rabusseau
Shenyang Huang
Vincent François-Lavet
Cited by 4
Optimizing home energy management and electric vehicle charging with reinforcement learning
2018
B Benoit
RG Di Wu
Vincent François-Lavet
+1
Cited by 3
Novelty Search in representational space for sample efficient exploration
2019
Joelle Pineau
Vincent François-Lavet
RY Tao
+1
Cited by 3
Approximate Bayes Optimal Policy Search using Neural Networks
2017
Castronovo Michael
Damien Ernst
Raphael Fonteneau
+2
Cited by 2
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
2020
Maxime Wabartha
Vincent François-Lavet
M Wabartha
+3
Cited by 1
Reinforcement Learning for Radiotherapy Dose Fractioning Automation
2021
G Moreau
Benoit Macq
Vincent François-Lavet
+1
Cited by
Domain Adversarial Reinforcement Learning
2021
B Li
Vincent François-Lavet
Joelle Pineau
+1
Cited by
Nowcasting COVID-19 hospitalizations using Google Trends and LSTM
2020
Pierre Schaus
Vincent François-Lavet
Guillaume Derval
Cited by
Sampling diverse neural networks for exploration in reinforcement learning
2019
M Wabartha
Joelle Pineau
Audrey Durand
+1
Cited by
Exploring Continual Learning Using Incremental Architecture Search
2018
Shenyang Huang
Vincent François-Lavet
Guillaume Rabusseau
+1
Cited by