Sequential decision making is a field of research that focuses on making decisions in a sequential manner, where each decision affects the outcome of future decisions. This area of study considers how to make optimal decisions over time, taking into account uncertainty, limited information, and changing environments. Sequential decision making is commonly applied in various fields such as economics, artificial intelligence, operations research, and machine learning, among others.Researchers in this field develop algorithms and models to help decision-makers determine the best course of action at each stage of a sequential decision-making process, ultimately leading to the most favorable outcome.