Group Formation by Group Joining and Opinion Updates via Multi-Agent Online Gradient Ascent
學年 112
學期 1
出版(發表)日期 2023-10-17
作品名稱 Group Formation by Group Joining and Opinion Updates via Multi-Agent Online Gradient Ascent
作品名稱(其他語言)
著者 Chuang-Chieh Lin, Chih-Chieh Hung, Chi-Jen Lu, and Po-An Chen
單位
出版者
著錄名稱、卷期、頁數 IEEE Computational Intelligence Magazine 18(4), p.60-61
摘要 This article aims to exemplify best-response dynamics and multi-agent online learning by group formation. This extended abstract provides a summary of the full paper in IEEE Computational Intelligence Magazine on the special issue AI-eXplained (AI-X). The full paper includes interactive components to facilitate interested readers to grasp the idea of pure-strategy Nash equilibria and how the system of strategic agents converges to a stable state by the decentralized online gradient ascent with and without regularization.
關鍵字 Nash equilibrium;Machine learning;Follow-the-regularized-Leader;Gradient ascent;Group formation
語言 en_US
ISSN 1556-6048; 1556-603X
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Hung, Chih-chieh
審稿制度
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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