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May, 2023
系统神经多样性:多智能体学习中的行为多样性测量
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
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Matteo Bettini, Ajay Shankar, Amanda Prorok
TL;DR
本论文研究了多智能体系统的行为异质性问题,提出了一种名为System Neural Diversity(SND)的度量方法,通过对多智能体系统的模拟实验,证明了SND在评估系统韧性和稳健性方面的重要性。
Abstract
evolutionary science
provides evidence that diversity confers
resilience
. Yet, traditional multi-agent reinforcement learning techniques commonly enforce homogeneity to increase
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