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Updated: May 24, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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在多人不完美的信息游戏中近似纳什平衡的最后代收

Runyu Lu, Yuanheng Zhu, Dongbin Zhao

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括

    本研究介绍了不完美信息指数衰减得分为基础的学习 (IESL),用于在复杂的多人游戏中找到纳什平衡. 在克场景中,IESL表现出比现有方法更快的趋同和更稳定的表现.

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