Deadline-Aware Multi-Agent Reinforcement Learning for TSN-Based Vehicular Edge Networks
MAPPO agents schedule TSN queues in vehicular edge networks, cutting latency versus centralized baselines.
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MAPPO agents schedule TSN queues in vehicular edge networks, cutting latency versus centralized baselines.
HySTAR anchors a fixed hypergraph so cooperative MARL assigns credit without structural target drift.
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