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Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning
In this letter, we propose a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework for Medium Access Control (MAC) protocol design. Unlike centralized approaches, which rely on a single entity for decision-making, MADRL empowers individual
Externí odkaz:
http://arxiv.org/abs/2408.05884
