Imitation Learning Algorithms

Imitation Learning is a type of machine learning where an AI learns to perform tasks by observing and mimicking human actions. Think of it like teaching a child to ride a bike by showing them how it’s done rather than explaining every detail. The AI collects examples of good behavior or decisions from a human expert, then tries to reproduce those actions in similar situations. This approach is useful in complex environments where programming every possible action is impractical, allowing the AI to quickly adapt and learn from the expertise it observes.