Why Reinforcement Learning Feels Different (And Why That’s Good) If you’ve worked with supervised learning, you’re used to a straightforward paradigm: show the model labeled examples, and it learns to predict labels for new data. Unsupervised learning asks the model to find patterns in unlabeled data. Reinforcement Learning (RL) flips the script entirely. In RL,... Continue Reading →