A robotics team trains a warehouse picking robot inside a simulator. Nobody labels the "correct" move for each situation. Instead, the robot tries an action, the simulator returns a score (positive when an item is placed in the right bin, negative when it drops one), and the robot gradually adjusts its behaviour to earn more points over a full run. Which machine learning paradigm does this describe?