Minimax
الأصغري-الأعظمي
صياغة من نظرية الألعاب يسعى فيها أحد اللاعبين لتعظيم دالة هدف بينما يسعى الآخر لتصغيرها، فتتشكّل نقطة توازن عند تقاطع استراتيجيتيهما المُثلى.
A game-theoretic formulation where one player seeks to maximize an objective function while the other seeks to minimize it, reaching an equilibrium at the intersection of their optimal strategies.
Also translated asلعبة الحد الأدنى-الأقصى، التحسين التبادلي المتعاكس
First appears in this corpus in: Some Studies in Machine Learning Using the Game of Checkers (1959)
Appears in these papers
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Explaining and Harnessing Adversarial Examples2015in the sky ✦
- Generative Adversarial Networks2014in the sky ✦
- Generative Adversarial Networks2014in the sky ✦
- Some Studies in Machine Learning Using the Game of Checkers1959in the sky ✦
- Some Studies in Machine Learning Using the Game of Checkers1959in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦