Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost
Por um escritor misterioso
Last updated 10 março 2025
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

Leonardo Tanzi, Author at MarkTechPost - Page 3 of 3

How AlphaZero Learns Chess

Move over AlphaGo: AlphaZero taught itself to play three different games
The Basics of Neural Networks for Chess nerds (and anyone interested in AI), by Ryan Leong, Nov, 2023

The future is here – AlphaZero learns chess

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

AlphaZero Explained · On AI

DeepMind's AlphaZero crushes chess

Acquisition of chess knowledge in AlphaZero
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