Guardat en:
| Autor principal: | |
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| Format: | Recurso digital |
| Idioma: | anglès |
| Publicat: |
Zenodo
2025
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.15824931 |
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Taula de continguts:
- <p>This repository contains the implementation of EVCAR-KG, an ontology-driven knowledge graph framework that enhances multi-agent reinforcement learning for electric vehicle charging network recovery after prolonged power outages.</p> <p>The framework integrates semantic knowledge through an OWL ontology with TD3-MADDPG agents to improve learning efficiency and decision quality during post-outage recovery scenarios. Key features include ontology-based action masking, priority-aware reward shaping, and aggregate representation for scalability.</p> <p>This work was presented at the 36th Forum Bauinformatik 2025 in Aachen, Germany.</p>