What is Reinforcement Learning and how does it function?

Reinforcement learning (RL) is a subset of machine learning (ML). It allows an agent to learn through the repercussions of actions in a specific ecosystem. It can be used to train a robot with new tricks. It is a behavioral learning model where the algorithm offers data analysis feedback, directing the user to get the best outcome. It varies from other forms of supervised learning as the sample data set does not train the machine. It learns by trial and error, instead.