AlphaZero, a novel Reinforcement Learning Algorithm, deployed in JavaScript

In this blog post, you will learn about and implement AlphaZero, an exciting and novel Reinforcement Learning Algorithm, used to beat world-champions in games like Go and Chess. You will use it to master a pen-and-pencil game (Dots and Boxes) and deploy it into a web app, entirely in JavaScript. AlphaZero's key and most exciting aspect is its ability to gain superhuman behavior in board games without relying on external knowledge. AlphaZero learns to master the game by playing against itself (self-play) and learning from those experiences. We will leverage a "simplified, highly flexible, commented, and easy to understand implementation" Python version of AlphaZero from Surag Nair available in Github. You can go ahead and play the game here. The WebApp and JavaScript implementation are available here. This code was ported from this Python implementation.