Actor-Critic Method

The Actor-Critic Method is a type of reinforcement learning technique used in artificial intelligence. Imagine it like training a performer (the "actor") who makes decisions on stage, and a director (the "critic") who provides feedback on those decisions. The actor explores different actions to achieve a goal, while the critic evaluates the outcomes to guide the actor's future actions. This collaboration helps the actor improve over time, balancing immediate rewards with long-term goals, making it effective for solving complex problems where both decision-making and performance evaluation are essential.