A simulated warehouse robot tries movement actions and receives rewards for safe, efficient routes and penalties for collisions. It improves its action policy through repeated interactions. Which learning method does this describe?

1. Unsupervised clustering of warehouse coordinates.
2. Reinforcement learning.
3. Supervised classification using a label for every possible movement.
4. Regression that predicts travel time from historical routes without learning a reward-based action policy.