SIS

该数据集对SIS MFG场景中学习均衡的算法进行了评估。结果显示，在SIS MFG中，GFP算法在QRE方面的性能和收敛性得到了证明。该数据集涉及大规模的智能体群体，其任务是对分析在多智能体博弈中学习算法的有效性。This dataset evaluates algorithms for learning equilibria in the SIS MFG scenario. The results demonstrate that the GFP algorithm exhibits favorable performance and convergence characteristics with respect to QRE in the SIS MFG setting. This dataset involves large-scale multi-agent populations, and its purpose is to analyze the effectiveness of learning algorithms in multi-agent games.