Understanding AlphaZero Neural Network's SuperHuman Chess Ability
Por um escritor misterioso
Descrição
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 – arXiv Vanity
CB article on AlphaZero suggests AlphaZero is playing a different kind of chess. : r/chess
Reimagining Chess with AlphaZero, February 2022
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Acquisition of Chess Knowledge in AlphaZero
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What makes Alpha Zero so much ahead of the most powerful chess engines out there? - Quora
Checkmate: how we mastered the AlphaZero cover, Science
The Evolution of AlphaGo to MuZero, by Connor Shorten
Acquisition of chess knowledge in AlphaZero
Acquisition of Chess Knowledge in AlphaZero – arXiv Vanity
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