REINFORCEMENT LEARNING

This article aims to provide you with sufficient knowledge of the most important type of machine learning, i.e., reinforcement learning. Reinforcement Learning is based on a self-learning mechanism (i.e. it does not need extra data and training resources). So, you might be thinking without data how machines are going to learn. In Reinforcement Learning the machines learn with interactive feedback. They did some job and the user provides feedback for the same, if the feedback is positive the machine continues that work and if the feedback is negative the machine changes the work.