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.
File(s)
Document(s)
Master thesis - motion planning with reinforcement learning.pdf
Description: -
Size: 1.89 MB
Format: Adobe PDF
Description: -
Size: 1.89 MB
Format: Adobe PDF
Annexe(s)
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.