According to our database1, Vincent François-Lavet authored at least 7 papers between 2013 and 2018.
Legend:Book In proceedings Article PhD thesis Other
An Introduction to Deep Reinforcement Learning.
Foundations and Trends in Machine Learning, 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Approximate Bayes Optimal Policy Search using Neural Networks.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
Imitative Learning for Online Planning in Microgrids.
Proceedings of the Data Analytics for Renewable Energy Integration, 2015
Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
An energy-based variational model of ferromagnetic hysteresis for finite element computations.
J. Computational Applied Mathematics, 2013