English(EN) Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach

新的常微分方程方法阐明了零和博弈中Adam-DA的动力学

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-19 05:38

研究人员开发了一种常微分方程（ODE）方法，以更好地理解Adam-DA（一种用于解决零和博弈的流行算法）的理论基础。这个新框架紧密地反映了Adam-DA的离散时间动力学，提供了一种易于分析的方法。研究表明，与在标准最小化问题中的作用相比，零和博弈中的动量参数具有相反的效果，这一发现通过GAN实验得到了验证。 AI

影响为理解对抗性环境中的优化提供了理论框架，可能改进GAN训练和其他零和博弈应用。

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-05-19 05:38

利用常微分程方法理解零和博弈中Adam的动力学

The remarkable success of the Adam in training neural networks has naturally led to the widespread use of its descent-ascent counterpart, Adam-DA, for solving zero-sum games. Despite its popularity in practice, a rigorous theoretical understanding of Adam-DA still lags behind. In…

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利用常微分程方法理解零和博弈中Adam的动力学

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