Research breakthrough · curated entry
AlphaGo Zero learns with no human games
AlphaGo Zero
- Date
- October 19, 2017
- Category
- Research breakthrough
- Organization / Model
- DeepMind
- Evidence
- 2 sources · 2 evidence families
Given only self-play and Monte Carlo tree search, it passed the version that beat Lee Sedol within three days and won 100 games to none. The result strengthened the general reinforcement learning plus search route.
Curator's note: Cross-checked against the Nature paper and the Wikipedia article.
Curated sources · 2
Cite this page
This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.
GB/T 7714—2025 (electronic resource [EB/OL])
AI 纪年. AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本[EB/OL]. (2017-10-19)[2026-11-03]. https://aihist.net/e/alphago-zero-2017.html.
APA 7 · American Psychological Association
AI 纪年. (2017, October 19). AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本 [Web page]. https://aihist.net/e/alphago-zero-2017.html
MLA 9 · Modern Language Association
"AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本." AI 纪年, 19 Oct. 2017, aihist.net/e/alphago-zero-2017.html. Accessed 3 Nov. 2026.
Chicago 17 · notes-bibliography
AI 纪年. "AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本." Published Oct. 19, 2017. Accessed Nov. 3, 2026. https://aihist.net/e/alphago-zero-2017.html.
IEEE · citation-reference list
"AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本," AI 纪年, 19 Oct. 2017. [Online]. Available: https://aihist.net/e/alphago-zero-2017.html. [Accessed: 3 Nov. 2026].
ACM · author-date variant
AI 纪年. October 19, 2017. AlphaGo Zero 从零自我对弈，超越人类棋谱训练版本. Retrieved November 3, 2026 from https://aihist.net/e/alphago-zero-2017.html.
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