In machine learning and optimal control, reinforcement learning (RL) is concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Source: Wikipedia, CC BY-SA 4.0 — https://en.wikipedia.org/wiki/Reinforcement_learning