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HERO: Heterogeneous-Agent Reinforcement Learning-Based Route Optimization for Green Transportation in IoVs

With the rapid urbanization and increasing demand for transportation, cities are facing major problems in mitigating traffic congestion and environmental pollution. A series of work have been done to resolve these issues, yet great challenges still exist. Although multi-vehicle path planning is bene...

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Principais autores: Shujuan Wang, Ziyin Guo, Haiqu Yang
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2026-01-01
coleção:IEEE Open Journal of Intelligent Transportation Systems
Assuntos:
Acesso em linha:https://ieeexplore.ieee.org/document/11585973/
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