Inverse reinforcement learning

Inverse reinforcement learning (IRL) is a technique where, instead of programming a machine what to do, we observe an expert’s behavior to understand their underlying goals or values. Think of it as learning the rules or motivations behind someone’s actions by watching them. Once the machine figures out these hidden intentions, it can then imitate or make decisions aligned with that expert’s intentions in new situations. IRL is useful in areas like robotics, self-driving cars, and personalized systems, helping machines learn complex behaviors by understanding the reasoning behind human actions.