AWhat changed
Combines neural Nash-style value iteration, policy-proposal restrictions and double-oracle action discovery for self-play in large simultaneous-action no-press Diplomacy.
Scientific scope
Combines neural Nash-style value iteration, policy-proposal restrictions and double-oracle action discovery for self-play in large simultaneous-action no-press Diplomacy. Known transitions and approximate restricted stage-game solving are used. Regret matching's Nash guarantees apply to two-player zero-sum and special classes, not full seven-player Diplomacy; no certified global equilibrium or human-compatible communication is claimed.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Known transitions and approximate restricted stage-game solving are used. Regret matching's Nash guarantees apply to two-player zero-sum and special classes, not full seven-player Diplomacy; no certified global equilibrium or human-compatible communication is claimed.
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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