首页|Findings from Monash University Yields New Findings on Computational Intelligence (Multi-agent Task Assignment In Vehicular Edge Computing: a Regret-matching Learning-based Approach)
Findings from Monash University Yields New Findings on Computational Intelligence (Multi-agent Task Assignment In Vehicular Edge Computing: a Regret-matching Learning-based Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning - Computational Intelligence are presented in a new report. Accordingto news reporting originating from Clayton, Australia, by NewsRx correspondents, research stated,“Vehicular edge computing has emerged as a solution for enabling computation-intensive applications withinIntelligent Transportation Systems (ITS), encompassing domains like autonomous driving and augmentedreality. Despite notable progress in this domain, the efficient allocation of constrained computationalresources to a spectrum of time-critical ITS tasks remains a substantial challenge.”
ClaytonAustraliaAustralia and New ZealandComputational IntelligenceMachine LearningAlgorithmsMonash University
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