AlphaZero

DeepMind · 2017 · Game AI · UK

A to Z

A · App: No
B · Built By: DeepMind
C · CEO & Politics: Demis Hassabis — Centrist / pro-science / UK establishment
D · Date: 2017
E · Expertise: Intermediate+
F · Free Tier: No free tier
G · Generates: Text only
H · Deployment: Research
I · Inputs: Text
J · Jurisdiction: UK
K · Key Staffers: Shane Legg (Co-Founder, Chief AGI Scientist), Koray Kavukcuoglu (CTO), John Jumper
L · Languages: English-primary
M · Model Type: Game AI
N · Safety Issues: None reported
O · Open Source: Proprietary
P · Pricing: Not sold (research model)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: DeepMind's AlphaZero, introduced in late 2017 and fully evaluated in Science in December 2018, a single system that taught itself chess, shogi and Go from random play through self-play reinforcement learning, given only the rules, with a deep neural network guiding Monte Carlo tree search; after about 9 hours of training for chess, 12 for shogi and 13 days for Go, it beat the leading programs Stockfish (155 wins and 6 losses in 1,000 games), Elmo (91.2% of games) and AlphaGo Zero (61%).
S · Stock / Status: $344 (GOOGL, Sep 25, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: API only
X · X Handle: @GoogleDeepMind
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Proprietary Game AI from DeepMind, released 2017.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“AlphaZero.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/alphazero.html