What is recorded here?
Combines neural Nash-style value iteration, policy-proposal restrictions and double-oracle action discovery for self-play in large simultaneous-action no-press Diplomacy.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
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.
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People and systems
Anton Bakhtin; David Wu; Adam Lerer; Noam Brown
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.
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English catalogue narrative
DORA no-press Diplomacy learning from scratch
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
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.
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
Anton Bakhtin; David Wu; Adam Lerer; Noam Brown
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.