Twin: Test-Time Digital Twin for Learning Unknown Games

US & West · 14 Aug

Twin is a system that automatically builds an executable world model for continual learning tasks like ARC-AGI-3 games. It recovers game rules and goals from simulation and interaction alone, leveraging a strong inductive prior for grid games. Validation occurs in a twin model, where mismatches trigger model repair.

Original headline

Twin: Playing an Unknown Game with a Test-Time Digital Twin

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