Tag: Markov Decision Process

Advanced Analytics Machine Learning

Introduction to Reinforcement Learning

Reinforcement Learning is a type of learning algorithm in which the machine takes decisions on what actions to take, given a certain situation/environment, so as to maximize a reward. The difference between supervised and reinforcement learning is the reward signal that simply tells whether the action (input) taken by the agent is good or bad. It doesn’t tell us anything about what is the best action.