DAOEF integrates delta-aware caching, action pruning, and hardware matching to deliver 1.45x gains and sub-linear scaling up to 250 agents in multi-agent edge computing.
Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
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A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
DAOEF integrates delta-aware caching, action pruning, and hardware matching to deliver 1.45x gains and sub-linear scaling up to 250 agents in multi-agent edge computing.