Yu-Hao Zhou

Deep reinforcement learning-enhanced framework for precision investment decision and dynamic optimization in power grid systems

A Deep Reinforcement Learning–Enhanced Dynamic Optimization Framework (DRL-DOF) that integrates uncertainty-aware policy optimization, temporal-attention actor–critic networks, and digital twin simulation for precision investment management is presented.