Imitation-regularized Optimal Transport on Networks: Enhancing Robustness in Logistics Planning

The author explores the concept of imitation-regularized optimal transport (I-OT) on networks to enhance robustness in logistics planning by imitating prior distributions and minimizing costs. The study aims to provide a comprehensive understanding of the implications and applications of I-OT in network systems.