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

Google Deep Mind AI Alpha Zero Devours Stockfish

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

Acquisition of chess knowledge in AlphaZero

▷ Alpha zero chess: Insane IA mastering the game in 2023.

How AlphaZero Learns Chess

Why Artificial Intelligence Like AlphaZero Has Trouble With the Real World

Checkmate: DeepMind's AlphaZero AI clobbered rival chess app on non-level playing, er, board • The Register

AlphaZero and the Losing Future of Human Wisdom

MuZero, AlphaZero, and AlphaDev: Optimizing computer systems - Google DeepMind

How AlphaZero Learns Chess

The human side of AI for chess - Microsoft Research