Advantage Function

The Advantage Function is a concept in reinforcement learning that helps evaluate how much better an action is compared to the average action in a given situation. Essentially, it measures the "advantage" of choosing one action over others based on the expected reward it can bring. If an action has a higher advantage, it is considered a better choice. This function helps guide algorithms in making smarter decisions, leading to improved performance in tasks like game playing or robotics by focusing on actions that yield greater rewards.