Does Andrew Ng still teach at Stanford?

Reinforcement learning is a machine learning training method based on rewarding desired behaviors and/or punishing undesired ones . In general, a reinforcement learning agent is able to perceive and interpret its environment, take actions and learn through trial and error.

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world .