Rational agents in AI perceive their environment through sensors, define goals, evaluate options, and act to achieve optimal results. Types range from simple reflex to utility-based and learning agents. They learn from feedback, improve over time, and are applied in healthcare, finance, virtual assistants, and self-driving systems turning AI from reactive to purpose-driven automation.