Maturing Markov Decision Processes Introduce New Decision Framework

Maturing Markov Decision Processes (MMDPs) model the asymmetric evolution of information and action availability in sequential decisions. They introduce an expiring-action priority principle and a structure-aware reinforcement learning framework that improves learning efficiency, especially in complex and scalable decision problems.