Reinforcement learning is a groundbreaking technology in the AI development. It provides the optimum environment for a machine to be creative – finding new and innovative ways to solve problems and perform its tasks.
A Machine Learning subfield, Reinforcement Learning (RL) is concerned with decision making and motor control. It is designed to train ML models make a sequence of decisions through interaction with the environment. Employing a system of rewards and penalties to compel the computer to solve a problem by itself. The computer employs trial and error to come up with a solution to the problem. As the computer maximizes the reward, it is prone to seeking unexpected ways of doing it.