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A novel deadline-aware metric and a hybrid reinforcement learning architecture dramatically improve network control efficiency, enabling timely delivery of critical information in dynamic environments.
Constrained deep RL can ensure timely packet delivery in next-gen networks while slashing resource allocation costs, even when traditional methods fail.
