Question

A logistics company is developing a warehouse robot that must learn the most efficient path to move packages between locations. The robot receives a positive reward when it delivers a package quickly and a penalty when it collides with obstacles or takes too long. Over many trials, the robot improves its navigation strategy based on these rewards. Which type of machine learning best describes this approach?

Accepted Answer

Reinforcement learning, because the robot learns by taking actions and receiving rewards or penalties

Answer

Supervised learning, because the robot is trained on labeled examples of correct paths

Answer

Unsupervised learning, because the robot discovers hidden patterns in unlabeled sensor data

Answer

Semi-supervised learning, because the robot uses a small set of labeled paths and many unlabeled ones