# Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

*Source* · `src-silver-2017-alphazero` · status: **n/a**

| field | value |
|---|---|
| kind | Preprint |
| venue | arXiv |
| date | 2017-12-05 |
| arxiv | 1712.01815 |
| accessed | 2026-10-24 |
| notes | AlphaZero: superhuman chess, shogi, and Go within 24 hours from random play given only the rules; beat a world-champion program in each game. |

## Authors

- David Silver
- Thomas Hubert
- Julian Schrittwieser
- Ioannis Antonoglou
- Matthew Lai
- Arthur Guez
- Marc Lanctot
- Laurent Sifre
- Dharshan Kumaran
- Thore Graepel
- Timothy Lillicrap
- Karen Simonyan
- Demis Hassabis

## Backlinks (computed)

**cited by:** [Self-play planning with learned models (AlphaZero, MuZero, Dreamer)](../technique/model-based-planning-muzero.md)

## Citation

David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017-12-05). *Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm*. arXiv https://arxiv.org/abs/1712.01815

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Provenance: created in run `2026-10-24-techniques-rl-design`.