Reinforcement learning

Definition
Reinforcement learning is

"a framework that shifts the focus of machine learning from pattern recognition to experience-driven sequential decision-making."

Overview
"It promises to carry AI applications forward toward taking actions in the real world. While largely confined to academia over the past several decades, it is now seeing some practical, real-world successes."