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GPU-CFR is proposed, a compiler and runtime built on observation that for a fixed game, everything about a CFR iteration except the numerical values is known before the first iteration runs, and beats every CPU and GPU baseline on the mid-to-large games of the suite without changing the update rule.
Traditional ICM strategies miss critical dynamics, leading to an average \$9,036 value error鈥擲CO redefines tournament strategy by integrating continuation values for superior outcomes.
AV-AIVAT enables agent evaluations to stop as soon as the evidence is sufficient, achieving a staggering 74x reduction in game requirements while maintaining statistical validity.
