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https://hdl.handle.net/10216/142722Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | João Henrique Afonso Marques Reguengo da Luz | |
| dc.date.accessioned | 2025-11-12T11:06:38Z | - |
| dc.date.available | 2025-11-12T11:06:38Z | - |
| dc.date.issued | 2022-07-15 | |
| dc.date.submitted | 2022-08-04 | |
| dc.identifier.other | sigarra:572050 | |
| dc.identifier.uri | https://hdl.handle.net/10216/142722 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Multi-Agent Deep Reinforcement Learning for Resource Management in Earth Observation Satellites Constellations | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/pesn-yv09 | |
| dc.identifier.tid | 203167821 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado em Engenharia Informática e Computação | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 572050.pdf | Multi-Agent Deep Reinforcement Learning for Resource Management in Earth Observation Satellites Constellations | 2.52 MB | Adobe PDF | ![]() View/Open |
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