AWhat changed
Demonstrates strong cooperative-game performance using PPO with centralized agent-specific value inputs, value normalization, controlled data reuse, action masking and appropriate death masking.
Scientific scope
Demonstrates strong cooperative-game performance using PPO with centralized agent-specific value inputs, value normalization, controlled data reuse, action masking and appropriate death masking. This is an empirical application/recipe, not invention of PPO or an optimality theorem. Reported wall-clock comparisons use differing numbers of parallel environments; a one-GPU setup also has a 64-core CPU and 256GB RAM. The controlling v1 has six authors, not the later seven-author version; first two authors contribute equally and Vinitsky/Wu advise equally.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This is an empirical application/recipe, not invention of PPO or an optimality theorem. Reported wall-clock comparisons use differing numbers of parallel environments; a one-GPU setup also has a 64-core CPU and 256GB RAM. The controlling v1 has six authors, not the later seven-author version; first two authors contribute equally and Vinitsky/Wu advise equally.
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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