Reinforcement Learning (RL)

Reinforcement Learning (RL) is a type of machine learning where an agent (e.g. a model) learns to make decisions by taking actions in a system to maximize a reward.

RL is used in robotics, game playing (e.g., AlphaGo), autonomous vehicles, and recommendation systems.