arXiv CS
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Deadline-Aware Multi-Agent Reinforcement Learning for TSN-Based Vehicular Edge Networks
Vehicular edge computing (VEC) enables latency-sensitive applications by bringing computing and networking resources closer to vehicles. However, existing approaches often overlook network contention among co-located services with heterogeneous and dynamic latency requirements. While time-sensitive
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