Multi-agent deep RL enables distributed link scheduling that improves both average and 5th percentile throughput, approaching centralized performance and remaining robust to network density changes.
Deep reinforcement learning for distributed dynamic power allocation in wireless networks,
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When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Multi-agent deep RL enables distributed link scheduling that improves both average and 5th percentile throughput, approaching centralized performance and remaining robust to network density changes.