Reinforcement Learning

A machine learning approach where an AI agent learns by trial and error, receiving rewards for good actions and penalties for bad ones. It's like training a pet with treats - the AI explores different actions, gets feedback from the environment, and gradually learns optimal behavior. This is how AI mastered games like Chess, Go, and video games.