Q-function

The Q-function, or action-value function, is a fundamental concept in reinforcement learning and is used to evaluate the quality of actions taken in a given state. It helps an agent determine the expected return (cumulative future reward) from taking a particular action in a particular state, while following a specific policy thereafter.