自动化学报(英文版)2018,Vol.5Issue(1):301-310,10.DOI:10.1109/JAS.2017.7510466
An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game
An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game
摘要
关键词
Complex network/prisoner's dilemma/reinforcement learning/temporal differences learningKey words
Complex network/prisoner's dilemma/reinforcement learning/temporal differences learning引用本文复制引用
Lei Xue,Changyin Sun,Donald Wunsch,Yingjiang Zhou,Fang Yu..An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game[J].自动化学报(英文版),2018,5(1):301-310,10.基金项目
This work was supported by the National Natural Science Foundation (NNSF) of China (61603196,61503079,61520106009,61533008),the Natural Science Foundation of Jiangsu Province of China (BK20150851),China Postdoctoral Science Foundation (2015M581842),Jiangsu Postdoctoral Science Foundation (1601259C),Nanjing University of Posts and Telecommunications Science Foundation (NUPTSF) (NY215011),Priority Academic Program Development of Jiangsu Higher Education Institutions,the open fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education (MCCSE2015B02),and the Research Innovation Program for College Graduates of Jiangsu Province (CXLX1309). (NNSF)