Agent based modelling for continuously varying supply chains

no code implementations • 24 Dec 2023 • Wan Wang, HaiYan Wang, Adam J. Sobey

Academic/practical: However, learning in continuously varying environments remains a challenge in the reinforcement learning literature. Methodology: This paper therefore seeks to address whether agents can control varying supply chain problems, transferring learning between environments that require different strategies and avoiding catastrophic forgetting of tasks that have not been seen in a while.

reinforcement-learning Reinforcement Learning (RL)