Error-Driven Learning - What is the term for a type of machine learning where the algorithm learns from its mistakes?

In comparison to other ML methods, error-driven learning offers various benefits: Because of their capacity to receive criticism and use it to improve, they are both adaptable and resistant to data changes and noise.