Reinforcement Learning-Enhanced Genetic Programming Framework for Mars Lander Guidance and Control

Salah, Mohammad (2026) Reinforcement Learning-Enhanced Genetic Programming Framework for Mars Lander Guidance and Control. Master's, University of Bremen.

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Item URL in elib:

https://elib.dlr.de/223004/

Document Type:

Thesis (Master's)

Title:

Reinforcement Learning-Enhanced Genetic Programming Framework for Mars Lander Guidance and Control

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Salah, Mohammad	University of Bremen	UNSPECIFIED	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Theil, Stephan	Stephan.Theil (at) dlr.de	https://orcid.org/0000-0002-5346-8091
Thesis advisor	Marchetti, Francesco	francesco.marchetti (at) dlr.de	https://orcid.org/0000-0003-4552-0467

Date:

2026

Open Access:

Number of Pages:

Status:

Published

Keywords:

Machine Learning, Reinforcement Learning, Genetic Programming, Guidance, Control

Institution:

University of Bremen

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Autonomous real-time optimal control for embedded systems

Location:

Bremen

Institutes and Institutions:

Institute of Space Systems > Navigation and Control Systems

Deposited By:

Marchetti, Francesco

Deposited On:

02 Mar 2026 09:09

Last Modified:

02 Mar 2026 09:09

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