Understanding AlphaZero Neural Network's SuperHuman Chess Ability

As a common and (sometimes) proven belief, deep learning systems seem to learn uninterpretable representations and are far from human understanding. Recently, some studies have highlighted the fact that this may not always be applicable, and some networks may be able to learn human-readable representations. Unfortunately, this ability could merely come from the fact that these networks are exposed to human-generated data. So, to demonstrate their ability to learn like humans (and not that they are simply memorizing human-created labels), it is necessary to test them without any label.  Following this idea, the DeepMind and Google Brain teams, together with

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

AlphaZero algorithm can pick up victory moves in chess

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

A Very Unlikely Chess Game

Google AI Achieves Alien Superhuman Mastery of Chess and Go in Mere Hours - The New Stack

DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines

How AlphaZero Learns Chess

What makes Alpha Zero so much ahead of the most powerful chess engines out there? - Quora

AlphaZero learns human concepts

Acquisition of chess knowledge in AlphaZero

A Beginner's Guide to Machine Learning - RapidMiner

AlphaZero Explained · On AI

DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines

Acquisition of Chess Knowledge in AlphaZero

Acquisition of chess knowledge in AlphaZero