Sequential Decision Making

"Sequential Decision Making" refers to the method of optimizing long-term rewards through a continuous decision-making process in dynamic environments. Its objective is to formulate and implement optimal strategies under scenarios with high levels of uncertainty and complexity. This method continuously optimizes the decision path by evaluating states, selecting actions, and adjusting based on feedback, thereby enhancing the adaptability and robustness of the system. It holds significant application value in fields such as reinforcement learning, automatic control systems, and intelligent decision support systems.