Value Function Approximation

Value Function Approximation is a method used in decision-making systems, like artificial intelligence, to estimate the potential benefit or future rewards of different actions or states, especially when dealing with complex or large-scale environments. Instead of calculating exact values for every possible situation, it uses mathematical models or algorithms to approximate these values efficiently. This helps the system make informed choices quickly without exhaustive computations, enabling better performance in tasks like robotics, game playing, or autonomous systems where evaluating every possibility is impractical.