# Mastering Atari, Go, chess and shogi by planning with a learned model

*Source* · `src-schrittwieser-2020-muzero` · status: **n/a**

| field | value |
|---|---|
| kind | Peer-reviewed paper |
| venue | Nature 588:604-609 |
| date | 2020-12-23 |
| doi | 10.1038/s41586-020-03051-4 |
| arxiv | 1911.08265 |
| accessed | 2026-10-24 |
| notes | MuZero: learned representation, dynamics, and prediction networks planned over with MCTS, without being given the rules; preprint November 2019. |

## Authors

- Julian Schrittwieser
- Ioannis Antonoglou
- Thomas Hubert
- Karen Simonyan
- Laurent Sifre
- Simon Schmitt
- Arthur Guez
- Edward Lockhart
- Demis Hassabis
- Thore Graepel
- Timothy Lillicrap
- David Silver

## Backlinks (computed)

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

## Citation

Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver (2020-12-23). *Mastering Atari, Go, chess and shogi by planning with a learned model*. Nature 588:604-609 https://doi.org/10.1038/s41586-020-03051-4

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