Imitation Learning

Imitation Learning is a type of machine learning where a computer program learns to perform tasks by observing and mimicking human behavior. Instead of learning from trial and error, the system analyzes demonstrations provided by experts, such as videos or recordings of skilled individuals. By replicating these actions, the program gradually improves its performance. This approach is useful in scenarios like robotics, where teaching a robot to perform complex tasks can be done efficiently by showing it how to do so, similar to how a child learns by watching adults.