What is recorded here?
Combined tree search with a learned latent model that predicts reward, policy and value quantities, reporting performance across Atari and board games without being supplied their transition rules.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact twelve-author Nature paper. Claims remain confined to the reported games, training budgets and evaluation protocol; it does not establish general real-world planning, safety or domain-independent intelligence.
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People and systems
Julian Schrittwieser; Ioannis Antonoglou; Thomas Hubert; Karen Simonyan; Laurent Sifre; Simon Schmitt; Arthur Guez; Edward Lockhart; Demis Hassabis; Thore Graepel; Timothy Lillicrap; David Silver
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United Kingdom
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English catalogue narrative
Schrittwieser and colleagues: MuZero planning with a learned model
Combined tree search with a learned latent model that predicts reward, policy and value quantities, reporting performance across Atari and board games without being supplied their transition rules.
Scientific scope
The record is the exact twelve-author Nature paper. Claims remain confined to the reported games, training budgets and evaluation protocol; it does not establish general real-world planning, safety or domain-independent intelligence.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Julian Schrittwieser; Ioannis Antonoglou; Thomas Hubert; Karen Simonyan; Laurent Sifre; Simon Schmitt; Arthur Guez; Edward Lockhart; Demis Hassabis; Thore Graepel; Timothy Lillicrap; David Silver
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.