Mequanenit, Azanu Mirolgn, Nibret, Eyerusalem Alebachew, Herrero-Martín, Pilar, García-González, María S., Martínez-Béjar, Rodrigo (2025) A Multi-Agent Deep Reinforcement Learning System for Governmental Interoperability. Applied Sciences, 15 (6). doi:10.3390/app15063146
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | A Multi-Agent Deep Reinforcement Learning System for Governmental Interoperability | ||
| Journal | Applied Sciences | ||
| Authors | Mequanenit, Azanu Mirolgn | Author | |
| Nibret, Eyerusalem Alebachew | Author | ||
| Herrero-Martín, Pilar | Author | ||
| García-González, María S. | Author | ||
| Martínez-Béjar, Rodrigo | Author | ||
| Year | 2025 (March 13) | Volume | 15 |
| Issue | 6 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/app15063146Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18151665 | Long-form Identifier | mindat:1:5:18151665:3 |
| GUID | 0 | ||
| Full Reference | Mequanenit, Azanu Mirolgn, Nibret, Eyerusalem Alebachew, Herrero-Martín, Pilar, García-González, María S., Martínez-Béjar, Rodrigo (2025) A Multi-Agent Deep Reinforcement Learning System for Governmental Interoperability. Applied Sciences, 15 (6). doi:10.3390/app15063146 | ||
| Plain Text | Mequanenit, Azanu Mirolgn, Nibret, Eyerusalem Alebachew, Herrero-Martín, Pilar, García-González, María S., Martínez-Béjar, Rodrigo (2025) A Multi-Agent Deep Reinforcement Learning System for Governmental Interoperability. Applied Sciences, 15 (6). doi:10.3390/app15063146 | ||
| In | (2025, March) Applied Sciences Vol. 15 (6). MDPI AG | ||
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