Multi-Period Newsvendor Problem: Solving MDP Models with Value Iteration, Policy Iteration, and Reinforcement Learning Algorithms in MATLAB

This MATLAB-based implementation demonstrates the solution of multi-period newsvendor problems using Markov Decision Process (MDP) models solved through value iteration, policy iteration, and reinforcement learning algorithms. The implementation includes detailed code examples showing state-value function updates, policy evaluation procedures, and Q-learning approaches with proper state-action space management.