English(EN) The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection

新分析表明伙伴选择促进多智能体系统中的合作

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-18 10:26

研究人员开发了一种分析解决方案，以理解伙伴选择如何影响面临社会困境的多智能体系统中的合作。他们的研究侧重于策略梯度动力学，表明伙伴选择通过改变对手分布来改变奖励格局，从而促进合作。研究结果表明，种群方差是合作出现的关键因素，并且已经推导出了促进合作的种群的充分条件。 AI

影响为理解多智能体系统中的合作提供了一个理论框架，可能为设计更具合作性的AI智能体提供信息。

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Paolo Turrini · 2026-05-18 10:26

带伙伴选择的社会困境中的策略梯度动力学

In social dilemmas self-interested learning agents face the choice between the societal benefit of cooperation and the immediate reward of defection. Significant evidence exists on the benefits of assortment mechanisms such as partner selection for the emergence of cooperation, b…