Author

Zhou Zhou

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GMM-TDQN: Two-Stage Multi-Objective Reinforcement Learning for Large-Scale Edge Server Deployment

GMM-TDQN is proposed, a two-stage multi-objective reinforcement learning framework for large-scale edge server deployment that adopts a Transformer-enhanced Deep Q-Network to learn adaptive deployment policies that balance multiple objectives.

Zhou Zhou, Tingyu Zheng, Yifu Zeng · 0 citations