Vincent François-Lavet

According to our database1, Vincent François-Lavet authored at least 11 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Combined Reinforcement Learning via Abstract Representations.
CoRR, 2018

Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
CoRR, 2018

Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability.
CoRR, 2017

Approximate Bayes Optimal Policy Search using Neural Networks.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2015
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies.
CoRR, 2015

Imitative Learning for Online Planning in Microgrids.
Proceedings of the Data Analytics for Renewable Energy Integration, 2015

2014
Simple connectome inference from partial correlation statistics in calcium imaging.
CoRR, 2014

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

2013
An energy-based variational model of ferromagnetic hysteresis for finite element computations.
J. Computational Applied Mathematics, 2013


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