This article discusses inventory optimization using dynamic programming and the Markov Decision Process. It explains the components of a Markov Decision Process, provides code examples in Python, and demonstrates the Policy Iteration Algorithm for finding the optimal policy. The article emphasizes the adaptive nature of
•10m read time• From pub.towardsai.net
Table of contents
IntroMarkov Decision Process:Markov Decision Process for Inventory OptimizationDynamic ProgrammingPolicy Iteration Algorithm for Inventory Optimization:What is the Optimal Order?Putting Everything Together:Summary:References:Thanks for reading so far!Sort: