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: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2026-01-01
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| Serija: | IEEE Open Journal of Intelligent Transportation Systems |
| Teme: | |
| Online dostop: | https://ieeexplore.ieee.org/document/11585973/ |
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