{"id":17325999,"url":"https://github.com/eleurent/phd-thesis","last_synced_at":"2025-06-12T19:04:37.910Z","repository":{"id":68385083,"uuid":"245866033","full_name":"eleurent/phd-thesis","owner":"eleurent","description":"My PhD thesis. I defended on the 30th of October, 2020! 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https://github.com/eleurent/phd-defense/","archived":false,"fork":false,"pushed_at":"2021-09-21T09:37:26.000Z","size":17252,"stargazers_count":14,"open_issues_count":1,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-27T04:31:48.122Z","etag":null,"topics":["phd-dissertation","phd-thesis","phd-thesis-latex"],"latest_commit_sha":null,"homepage":"","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/eleurent.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS.txt","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-03-08T18:25:23.000Z","updated_at":"2024-09-03T03:08:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"c5e06a63-b998-4ca5-8f84-1a2b188fd9c9","html_url":"https://github.com/eleurent/phd-thesis","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eleurent%2Fphd-thesis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eleurent%2Fphd-thesis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eleurent%2Fphd-thesis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eleurent%2Fphd-thesis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eleurent","download_url":"https://codeload.github.com/eleurent/phd-thesis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248719481,"owners_count":21150750,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["phd-dissertation","phd-thesis","phd-thesis-latex"],"created_at":"2024-10-15T14:14:48.033Z","updated_at":"2025-04-13T13:26:09.951Z","avatar_url":"https://github.com/eleurent.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Safe and Efficient Reinforcement Learning for Behavioural Planning in Autonomous Driving\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg alt=\"Social Attention\" src=\"https://raw.githubusercontent.com/eleurent/phd-thesis/master/2-Chapters/4-Chapter/img/head_specialization.png\"\u003e\n\u003c/td\u003e\n\u003ctd\u003e\n\u003cimg alt=\"Risk Awareness\" src=\"https://raw.githubusercontent.com/eleurent/phd-thesis/master/2-Chapters/5-Chapter/img/two-way-square.png\"\u003e\n\u003c/td\u003e\n\u003ctd\u003e\n\u003cimg alt=\"Robust Control\" src=\"https://raw.githubusercontent.com/eleurent/phd-thesis/master/2-Chapters/7-Chapter/img/highway-small.png\"\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/table\u003e\n\nThis repository holds the LaTeX code of my PhD Thesis.\n\n* Read the [**pdf** file](https://tel.archives-ouvertes.fr/tel-03035705) (for display on a screen :computer:);\n* or the [print version](http://www.edouardleurent.com/pdf/phd-thesis-print.pdf) (for printing on paper :book:).\n\n![Build LaTeX](https://github.com/eleurent/phd-thesis/workflows/Build%20LaTeX/badge.svg)\n\n\n# Publications in this thesis\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eRobust-Adaptive Control of Linear Systems: beyond Quadratic Costs\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent, Denis Efimov, and Odalric-Ambrym Maillard\u003cbr\u003e\nNeurIPS 2020\u003cbr\u003e\n\u003ca href=\"https://arxiv.org/abs/2002.10816\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://eleurent.github.io/robust-beyond-quadratic/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eMonte-Carlo Graph Search: the Value of Merging Similar States\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent and Odalric-Ambrym Maillard\u003cbr\u003e\nACML 2020\u003cbr\u003e\n\u003ca href=\"http://proceedings.mlr.press/v129/leurent20a.html\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://eleurent.github.io/monte-carlo-graph-search/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eRobust-Adaptive Interval Predictive Control for Linear Uncertain Systems\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent, Denis Efimov, and Odlaric-Ambrym Maillard\u003cbr\u003e\nCDC 2020\u003cbr\u003e\n\u003ca href=\"https://arxiv.org/abs/2007.10401\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/eleurent/rl-agents\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eBudgeted Reinforcement Learning in Continuous State Space\u003c/strong\u003e\u003cbr\u003e\nNicolas Carrara,* Edouard Leurent,* Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, and Olivier Pietquin\u003cbr\u003e\nNeurIPS 2019\u003cbr\u003e\n\u003ca href=\"https://proceedings.neurips.cc/paper/2019/hash/4fe5149039b52765bde64beb9f674940-Abstract.html\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://budgeted-rl.github.io/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eSocial Attention for Autonomous Decision-Making in Dense Traffic\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent and Jean Mercat\u003cbr\u003e\nML4AD Workshop at NeurIPS 2019\u003cbr\u003e\n\u003ca href=\"https://arxiv.org/abs/1911.12250\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://eleurent.github.io/social-attention/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003eInterval Prediction for Continuous-Time Systems with Parametric Uncertainties\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent, Denis Efimov, Tarek Raïssi, and Wilfrid Perruquetti\u003cbr\u003e\nCDC 2019\u003cbr\u003e\n\u003ca href=\"https://arxiv.org/abs/1904.04727\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://eleurent.github.io/interval-prediction/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cstrong\u003ePractical Open-Loop Optimistic Planning\u003c/strong\u003e\u003cbr\u003e\nEdouard Leurent and Odalric-Ambrym Maillard\u003cbr\u003e\nECML-PKDD 2019\u003cbr\u003e\n\u003ca href=\"https://arxiv.org/abs/1904.04700\"\u003e\u003cimg alt=\"Paper\" src=\"https://img.shields.io/badge/-Paper-gray\"\u003e\u003c/a\u003e\n\u003ca href=\"https://eleurent.github.io/kl-olop/\"\u003e\u003cimg alt=\"Code\" src=\"https://img.shields.io/badge/-Code-gray\" \u003e\u003c/a\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/table\u003e\n* Equal contribution.\n\n\n## Defense\n\nI defended on the 30th of October 2020, in front of the jury composed of:\n\n* Lucian Buşoniu\n* Jorge Villagra\n* Luce Brotcorne\n* Marc Deisenroth\n* Denis Efimov\n* Odalric-Ambrym Maillard\n\nThe slides :newspaper: that I used are also [available online](https://eleurent.github.io/phd-defense/), and [open-source](https://github.com/eleurent/phd-defense).\n\n\n## How to build the PDF?\n\nI recommend using [latexmk](https://www.ctan.org/pkg/latexmk/) to build this project.\n\n```latexmk -pdf PhD_thesis__Edouard_Leurent.tex```\n\nIt is used _e.g._ in the [latex-action](https://github.com/xu-cheng/latex-action) of the automatic [build workflow](/.github/workflows/main.yml).\nLaTeX editors such as [Texstudio](https://www.texstudio.org/) can be configured to use latexmk as the default compiler.\n\n## Credits\n\nThe template is inspired from [@Naereen/phd-thesis](https://github.com/Naereen/phd-thesis), also released under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feleurent%2Fphd-thesis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feleurent%2Fphd-thesis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feleurent%2Fphd-thesis/lists"}