Conference
Open access
Sep 2026
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, Ting-Yu Zheng, Yi-Fu Zeng
· Proceedings of the Thirty-Fi... · 0 citations