https://github.com/eleurent/phd-thesis
My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
https://github.com/eleurent/phd-thesis
phd-dissertation phd-thesis phd-thesis-latex
Last synced: about 1 year ago
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My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
- Host: GitHub
- URL: https://github.com/eleurent/phd-thesis
- Owner: eleurent
- License: mit
- Created: 2020-03-08T18:25:23.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-09-21T09:37:26.000Z (over 4 years ago)
- Last Synced: 2025-03-27T04:31:48.122Z (about 1 year ago)
- Topics: phd-dissertation, phd-thesis, phd-thesis-latex
- Language: TeX
- Homepage:
- Size: 16.5 MB
- Stars: 14
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Authors: AUTHORS.txt
Awesome Lists containing this project
README
# Safe and Efficient Reinforcement Learning for Behavioural Planning in Autonomous Driving
This repository holds the LaTeX code of my PhD Thesis.
* Read the [**pdf** file](https://tel.archives-ouvertes.fr/tel-03035705) (for display on a screen :computer:);
* or the [print version](http://www.edouardleurent.com/pdf/phd-thesis-print.pdf) (for printing on paper :book:).
# Publications in this thesis
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
Edouard Leurent, Denis Efimov, and Odalric-Ambrym Maillard
NeurIPS 2020
Monte-Carlo Graph Search: the Value of Merging Similar States
Edouard Leurent and Odalric-Ambrym Maillard
ACML 2020
Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems
Edouard Leurent, Denis Efimov, and Odlaric-Ambrym Maillard
CDC 2020
Budgeted Reinforcement Learning in Continuous State Space
Nicolas Carrara,* Edouard Leurent,* Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, and Olivier Pietquin
NeurIPS 2019
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent and Jean Mercat
ML4AD Workshop at NeurIPS 2019
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties
Edouard Leurent, Denis Efimov, Tarek Raïssi, and Wilfrid Perruquetti
CDC 2019
Practical Open-Loop Optimistic Planning
Edouard Leurent and Odalric-Ambrym Maillard
ECML-PKDD 2019
* Equal contribution.
## Defense
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 :newspaper: that I used are also [available online](https://eleurent.github.io/phd-defense/), and [open-source](https://github.com/eleurent/phd-defense).
## How to build the PDF?
I recommend using [latexmk](https://www.ctan.org/pkg/latexmk/) to build this project.
```latexmk -pdf PhD_thesis__Edouard_Leurent.tex```
It is used _e.g._ in the [latex-action](https://github.com/xu-cheng/latex-action) of the automatic [build workflow](/.github/workflows/main.yml).
LaTeX editors such as [Texstudio](https://www.texstudio.org/) can be configured to use latexmk as the default compiler.
## Credits
The template is inspired from [@Naereen/phd-thesis](https://github.com/Naereen/phd-thesis), also released under the MIT License.