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Learning-based sensing and computing decision for data freshness in edge computing-enabled networks
In this paper, we propose the sensing and computing decision (SCD) algorithms for data freshness in the EC-enabled wireless sensor networks.
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data
Recently, multi-agent reinforcement learning (MARL) adopts the centralized training with decentralized execution (CTDE) framework that trains agents using the data from all agents at a centralized server while each agent takes an action from its observation.
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