Value Iteration

Value Iteration is a method used in decision-making systems to find the best strategy for an agent to achieve its goals. It works by repeatedly evaluating the potential outcomes of different actions, assigning values to states based on the expected long-term rewards. Starting with initial estimates, it updates these values by considering immediate rewards and future benefits until the values stabilize. This process helps identify the optimal policy—what action to take in each situation—to maximize rewards over time. Essentially, it's a systematic way to learn the best course of action through iterative evaluation.