What is reinforcement learning in AI?
reinforcement learning The another kind of machine learning model that we'll discuss today is reinforcement learning. Unlike what we've been discussing in our last few articles, reinforcement learning is not a deep learning technique, it's a different subfield of machine learning. Reinforcement learning is a machine learning paradigm where an agent learns to make decisions by interacting with the environment, with the objective of maximizing cumulative rewards through the process of trial and error. How Reinforcement learning actually works? You can kind of imagine that this is how life works, you don't know what actions are going to make you successful, and what actions are going to cause you to fail. You just learn by interacting with the environment, by performing the actions, seeing what the results are, and then tweaking your actions accordingly. This is the basis of reinforcement learning. There are two main actors or components in a reinforcement learning model, ...