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Life & fun · December 6, 2018

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AlphaZero Science paper

AlphaZero Science paper launched on December 6, 2018 with 200 votes, #86 of 2,148 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 7 years on.

Visit deepmind.com ↗AlphaZero Science paper alternativestop 4% of December 2018

In plain words

AlphaZero is a self-teaching AI system that mastered chess, shogi, and Go by learning from scratch without human guidance. Developed by DeepMind, it defeated world-champion programs in each game. The system is of interest to game enthusiasts, AI researchers, and those studying machine learning capabilities. What distinguishes AlphaZero is its unconventional playing style, markedly different from traditional chess engines, demonstrating a novel approach to strategic gameplay through artificial intelligence.

written from the facts on this page · September 2026

From the sources

In late 2017 we introduced AlphaZero , a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go , beating a world-champion program in each case. We were excited by the preliminary results and thrilled to see the response from members of the chess community, who saw in AlphaZero’s games a ground-breaking, highly dynamic and “ unconventional ” style of play that differed from any chess playing engine that came before it. Today, we are delighted to introduce the full evaluation of AlphaZero, published in the journal Science ( Open Access version here ), that confirms and updates those preliminary results. It describes how AlphaZero…from deepmind.com

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