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Blum-Mansour

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TOOL · CL_167358 · Jul 28 · 04:00

New regret loss framework trains AI models for game-theoretic equilibrium

Researchers have introduced a novel regret loss framework for training AI models, extending previous work by Park et al. This new approach, termed swap-regret loss, allows models to optimize for swap-deviation robustnes…