AWhat changed
Combined stabilized value-learning parameterization with a bandit mechanism selecting exploration and discount settings, obtaining source-reported above-human baseline scores across all57 Atari games.
Scientific scope
Combined stabilized value-learning parameterization with a bandit mechanism selecting exploration and discount settings, obtaining source-reported above-human baseline scores across all57 Atari games. Extends R2D2/NGU and related algorithms; their inaccessible standalone original is not replaced by this citation. Atari57 uses game-specific training and particular human-normalized evaluation, not one policy proving general human intelligence or universally human-level performance. Human baselines and extensive environment-interaction costs remain protocol-dependent.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Extends R2D2/NGU and related algorithms; their inaccessible standalone original is not replaced by this citation. Atari57 uses game-specific training and particular human-normalized evaluation, not one policy proving general human intelligence or universally human-level performance. Human baselines and extensive environment-interaction costs remain protocol-dependent.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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