Reinforced machine learning

its objective is for an algorithm to learn from its own experience. In other words, it will be able to make the best decision in different situations according to a trial and error process in which the correct decisions are awarded. It is currently being used to enable facial recognition, make medical diagnoses or classify DNA sequences