首页|Investigators at Tianjin University Discuss Findings in Computational Intelligen ce (Decentralized Triggering and Event-based Integral Reinforcement Learning for Multiplayer Differential Game Systems)
Investigators at Tianjin University Discuss Findings in Computational Intelligen ce (Decentralized Triggering and Event-based Integral Reinforcement Learning for Multiplayer Differential Game Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Tianjin, People’s Republic of China, by NewsRx editors, research stated , “Multiplayer differential games are typically characterized by multiple contro l loops, where communication resources are periodically transmitted and control policies are updated in a time-triggered manner. In this paper, two different ev ent-triggered mechanisms are proposed for a class of multiplayer nonzero-sum dif ferential game systems.”
TianjinPeople’s Republic of ChinaAsi aComputational IntelligenceEmerging TechnologiesMachine LearningReinforc ement LearningTianjin University
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