Reinforcement Learning

Reinforcement learning is the cherry on a great AI cake with Machine learning the cake itself and deep learning the icing. Without the previous iterations, the cherry would top nothing. Reinforcement learning (RL) is a kind of machine learning concerned with how intelligent agents take decisions in a dynamic environment in which it is supposed to perform a certain goal, so that the cumulative reward is maximized. The environment is the world that the agent lives in and interacts with. The agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones.