Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

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

Acquisition of Chess Knowledge in AlphaZero

Acquisition of chess knowledge in AlphaZero

DeepMind's New AI Teaches Itself Chess, Beats Grandmaster

AlphaZero Explained · On AI

The future is here – AlphaZero learns chess

How AlphaZero Learns Chess

Checkmate: how we mastered the AlphaZero cover, Science

Move over AlphaGo: AlphaZero taught itself to play three different games

What's Inside AlphaZero's Chess Brain?

Four Deep Learning papers from late 2021 that will have a significant impact on 2022, by Leonardo Tanzi

The future is here – AlphaZero learns chess