Yifu Zeng

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

The deployment of edge servers plays a crucial role in supporting large-scale edge computing systems, where multiple conflicting objectives—such as latency, energy consumption, load balancing, and service reliability—must be jointly optimized in complex, dynamic environments. Existing solutions ofte