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This repository holds the LaTeX code of my PhD Thesis.
- Read the pdf file (for display on a screen 💻);
- or the print version (for printing on paper 📖).
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Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs Edouard Leurent, Denis Efimov, and Odalric-Ambrym Maillard NeurIPS 2020 
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Monte-Carlo Graph Search: the Value of Merging Similar States Edouard Leurent and Odalric-Ambrym Maillard ACML 2020
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Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems Edouard Leurent, Denis Efimov, and Odlaric-Ambrym Maillard CDC 2020
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Budgeted Reinforcement Learning in Continuous State Space Nicolas Carrara,* Edouard Leurent,* Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, and Olivier Pietquin NeurIPS 2019
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Social Attention for Autonomous Decision-Making in Dense Traffic Edouard Leurent and Jean Mercat ML4AD Workshop at NeurIPS 2019
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Interval Prediction for Continuous-Time Systems with Parametric Uncertainties Edouard Leurent, Denis Efimov, Tarek Raïssi, and Wilfrid Perruquetti CDC 2019
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Practical Open-Loop Optimistic Planning Edouard Leurent and Odalric-Ambrym Maillard ECML-PKDD 2019
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I defended on the 30th of October 2020, in front of the jury composed of:
- Lucian Buşoniu
- Jorge Villagra
- Luce Brotcorne
- Marc Deisenroth
- Denis Efimov
- Odalric-Ambrym Maillard
The slides 📰 that I used are also available online, and open-source.
I recommend using latexmk to build this project.
latexmk -pdf PhD_thesis__Edouard_Leurent.tex
It is used e.g. in the latex-action of the automatic build workflow. LaTeX editors such as Texstudio can be configured to use latexmk as the default compiler.
The template is inspired from @Naereen/phd-thesis, also released under the MIT License.