Q-Learning

A model-free reinforcement learning algorithm that learns the value of taking a specific action in a specific state, called the Q-value, and uses these values to derive an optimal policy. Q-learning was one of the foundational RL algorithms and, when combined with deep neural networks to create Deep Q-Networks, achieved landmark results in learning to play Atari games directly from pixels.