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Carradori, Jacopo (2024) 6-DOF atmospheric rocket landing guidance using meta-Reinforcement Learning. Master's, Delft University of Technology.
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| Item URL in elib: | https://elib.dlr.de/210766/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | 6-DOF atmospheric rocket landing guidance using meta-Reinforcement Learning | ||||||||
| Authors: |
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| Date: | 2024 | ||||||||
| Journal or Publication Title: | 6-DOF atmospheric rocket landing guidance using meta-reinforcement Learning | ||||||||
| Open Access: | Yes | ||||||||
| Status: | Published | ||||||||
| Keywords: | Meta-reinforcement Learning, 6-DoF Atmospheric Powered Descent, Reusable Rockets, Transformers | ||||||||
| Institution: | Delft University of Technology | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Transport | ||||||||
| HGF - Program Themes: | other | ||||||||
| DLR - Research area: | Transport | ||||||||
| DLR - Program: | V - no assignment | ||||||||
| DLR - Research theme (Project): | V - no assignment | ||||||||
| Location: | Bremen | ||||||||
| Institutes and Institutions: | Institute of Space Systems > Navigation and Control Systems | ||||||||
| Deposited By: | Sagliano, Marco | ||||||||
| Deposited On: | 16 Dec 2024 09:12 | ||||||||
| Last Modified: | 25 Sep 2025 10:58 |
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