Which learning model uses trial and error to fine-tune the outcome?

Reinforcement learning uses trial and error to fine-tune the outcome of the artificial intelligence decisions. Supervised learning uses labeled dataset to train the artificial intelligence model. Unsupervised learning uses unlabeled datasets to train the artificial intelligence model. Controlled learning is similar to supervised learning in which the dataset is strictly controlled.