Master Thesis Online
Recommender system for the billiard game
El Mekki, Sélim 
Promotor(s) :
Cornélusse, Bertrand
Date of defense : 26-Jun-2019/27-Jun-2019 • Permalink : http://hdl.handle.net/2268.2/6725
TFE_selim_elmekki.pdfDetails
| Title : | Recommender system for the billiard game |
| Translated title : | [fr] Système de recommandation pour le billard français |
| Author : | El Mekki, Sélim
|
| Date of defense : | 26-Jun-2019/27-Jun-2019 |
| Advisor(s) : | Cornélusse, Bertrand
|
| Committee's member(s) : | Fonteneau, Raphaël
Bruls, Olivier
|
| Language : | English |
| Number of pages : | 60 |
| Keywords : | [en] Carom [en] Reinforcement learning [en] billiards |
| Discipline(s) : | Engineering, computing & technology > Multidisciplinary, general & others |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en ingénieur civil électromécanicien, à finalité spécialisée en énergétique |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This work studies how a recommender system for the billiard game can be treated
as a reinforcement learning problem. The geometry and physics of billiards are studied in order to make a simulator. The simulator is designed following an event-based method
simulation. Some reinforcement learning algorithms are applied to the simulator.
Cite this master thesis
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.