Master Thesis Online
Motion planning using reinforcement learning
Scarlata, Nicolas 
Promotor(s) :
Ernst, Damien
Date of defense : 9-Sep-2019/10-Sep-2019 • Permalink : http://hdl.handle.net/2268.2/7990
Details
| Title : | Motion planning using reinforcement learning |
| Author : | Scarlata, Nicolas
|
| Date of defense : | 9-Sep-2019/10-Sep-2019 |
| Advisor(s) : | Ernst, Damien
|
| Committee's member(s) : | Fonteneau, Raphaël
Geurts, Pierre
Drion, Guillaume
|
| Language : | English |
| Keywords : | [en] reinforcement-learning [en] motion-planning |
| Discipline(s) : | Engineering, computing & technology > Computer science |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil électricien, à finalité spécialisée en "signal processing and intelligent robotics" |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This document aims to research and implement reinforcement learning technique to solve a motion planning problem of a car in a 2D world.
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Master thesis - motion planning with reinforcement learning.pdf
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.