Inventory control
Enhanced Multi-Task Deep Reinforcement Learning for Integrated Inventory-Routing Problem Under VMI Mode
Researchers at Wuhan University of Technology have developed a novel approach to optimize inventory replenishment and routing problems in Vendor Managed Inventory (VMI) mode. The study, published in the Management System Engineering journal, proposes an enhanced Multi-Task Proximal Policy Optimization (MTPPO) with deep reinforcement learning to refine inventory replenishment strategies