AWhat changed
Learns a team action-value as a sum of agent-local utilities from one shared reward, enabling centralized training and decentralized greedy execution.
Scientific scope
Learns a team action-value as a sum of agent-local utilities from one shared reward, enabling centralized training and decentralized greedy execution. Additive factorization restricts the representable joint value functions; the learned utilities are not separately observed per-agent rewards. Reported advantages concern the paper's partially observed cooperative tasks.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Additive factorization restricts the representable joint value functions; the learned utilities are not separately observed per-agent rewards. Reported advantages concern the paper's partially observed cooperative tasks.
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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