Maritime supply chain optimization using robust adversarial reinforcement learning

Truong Ngoc Cuong

doi:10.1016/j.engappai.2025.112127

Maritime supply chain optimization using robust adversarial reinforcement learning

2025-09-05

0

PRE

AI

DOI：10.1016/j.engappai.2025.112127

Original

Original request for help

Save

Abstract

En 中文

• Port operations show complex coupled nonlinear dynamics, prone to instability. •Data analytics and state space investigation are used for dynamical analysis. •Novel management system employs robust adversarial reinforcement learning strategy. •Simulations show robust performance of seaport operations under market disruptions. •Deep learning enhances productivity, boosting resilience through synchronization.

Maritime supply chain optimization using robust adversarial reinforcement learning

Abstract

Journal

Organization