Vincent François-Lavet

发表

Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging pdf

Gilles Louppe, Pierre Geurts, Damien Ernst, 2014, Neural Connectomics.

Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks

Joelle Pineau, Audrey Durand, Vincent François-Lavet, 2020, IJCAI.

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)

Joelle Pineau, Damien Ernst, Raphaël Fonteneau, 2020, IJCAI.

Towards the Minimization of the Levelized Energy Costs of Microgrids using both Long-term and Short-term Storage Devices

Damien Ernst, Raphaël Fonteneau, Quentin Gemine, 2016 .

Combined Reinforcement Learning via Abstract Representations

Joelle Pineau, Yoshua Bengio, Doina Precup, 2018, AAAI.

Novelty Search in representational space for sample efficient exploration pdf

Joelle Pineau, Vincent François-Lavet, Ruo Yu Tao, 2020, NeurIPS.

Contributions to deep reinforcement learning and its applications in smartgrids

Vincent François-Lavet, Vincent François-Lavet, 2017 .

Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Peter Henderson, Joelle Pineau, Joshua Romoff, 2018, CoRL.

Imitative Learning for Online Planning in Microgrids

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2015, DARE.

An Introduction to Deep Reinforcement Learning

Peter Henderson, Joelle Pineau, Marc G. Bellemare, 2018, Found. Trends Mach. Learn..

Approximate Bayes Optimal Policy Search using Neural Networks

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2017, ICAART.

How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies pdf

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2015, ArXiv.

Neural Architecture Search for Class-incremental Learning pdf

Guillaume Rabusseau, Vincent François-Lavet, Shenyang Huang, 2019, ArXiv.

Deep Reinforcement Learning Solutions for Energy Microgrids Management

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2016 .

An energy-based variational model of ferromagnetic hysteresis for finite element computations

Christophe Geuzaine, Ludovic Noels, François Henrotte, 2013, J. Comput. Appl. Math..

Estimating the revenues of a hydrogen-based high-capacity storage device: methodology and results

Damien Ernst, Raphaël Fonteneau, Vincent François-Lavet, 2014 .

Vectorial Incremental Nonconservative Consistent Hysteresis model

Laurent Stainier, Christophe Geuzaine, Ludovic Noels, 2011 .