Value Function

In reinforcement learning, a function that estimates the expected cumulative future reward an agent can obtain from a given state, or from taking a specific action in a given state. Value functions allow agents to plan ahead by evaluating not just the immediate reward of an action but its long-term consequences, and are central to most RL algorithms.