Hands-On Python Deep Learning for the Web

Reinforcement learning

Reinforcement learning (RL), is a form of ML wherein a virtual agent tries to learn how to interact with its surroundings in such a way that it can achieve the maximum reward from it for a certain set of actions. 

Let's try to understand this with a small example—say you build a robot that plays darts. Now, the robot will get a maximum reward only when it hits the center of the dartboard. It begins with a random throw of dart and lands on the outermost ring. It gets a certain amount of points, say x1. It now knows that throwing near that area will yield it an expected value of x1. So, in the next throw, it makes a very slight change of angle and luckily lands in the second outermost right, fetching it x2 points. Since ...