A HAPPO-based multi-agent scheduler for TSN queues reduces XR frame waiting times and tail delays in simulated MEC scenarios.
Ai-based dynamic schedule calculation in time sensitive networks using gcn-td3,
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Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application
A HAPPO-based multi-agent scheduler for TSN queues reduces XR frame waiting times and tail delays in simulated MEC scenarios.