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Updated: Jan 16, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Longquan Ma1, Huarong Zhao2, Yuhao Chen1
1Engineering Research Center of Internet of Things Applications Ministry of Education, Jiangnan University, Wuxi, 214122, Jiangsu, China.
本研究介绍了非线性多代理系统的综合强化学习算法,使得最优的共识控制,而不需要识别系统动态. 该方法确保了稳定的学习,并避免了改善性能的局部最佳值.
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