Learning through Reward & Punishment during Problem Solving
"Reinforcement learning is learning what to do—how to map situations to actions—so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine learning, but instead must discover which actions yield the most reward by trying them."
- Reinforcement Learning: An Introduction. (1.1)