论文标题
线性二次均值赛车团队分析：混合联盟方法
Linear quadratic mean-field game-team analysis: a mixed coalition approach
论文作者
论文摘要
在{大规模}（LS）系统的决策分析中，对均值场理论进行了广泛的探索，但传统上是``纯净的合作或竞争环境''。这导致了所谓的平均场地游戏（MG）或平均场团队或平均场团队（MT）（MT）。本文介绍了与合作的内部层和竞争性外层的新型类别的均值分布，以供竞争性的外层层面，因此，该层是一个杂乱无章的外层层，因此，该层是一个complate of of formatient'游戏团队策略。还提出了一种新型的渐近混合平衡 - 欧洲蛋白质。
Mean-field theory has been extensively explored in decision analysis of {large-scale} (LS) systems but traditionally in ``pure" cooperative or competitive settings. This leads to the so-called mean-field game (MG) or mean-field team (MT). This paper introduces a new class of LS systems with cooperative inner layer and competitive outer layer, so a ``mixed" mean-field analysis is proposed for distributed game-team strategy. A novel asymptotic mixed-equilibrium-optima is also proposed and verified.
