A decentralized hierarchical multi-agent reinforcement learning algorithm for Wi-Fi coordinated spatial reuse, selecting target stations and transmit powers through high- and low-level policies, improves simulated throughput and delay over baselines.
Per-node throughput enhancement in Wi-Fi densenets,
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Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
A decentralized hierarchical multi-agent reinforcement learning algorithm for Wi-Fi coordinated spatial reuse, selecting target stations and transmit powers through high- and low-level policies, improves simulated throughput and delay over baselines.