首页|Findings from South China University of Technology Reveals New Findings on Intel ligent Vehicles (Approximate Markov Perfect Equilibrium of Joint Offloading Poli cy for Multi-iv Using Reward-shared Distributed Method)
Findings from South China University of Technology Reveals New Findings on Intel ligent Vehicles (Approximate Markov Perfect Equilibrium of Joint Offloading Poli cy for Multi-iv Using Reward-shared Distributed Method)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Transportation - I ntelligent Vehicles. According to news reportingfrom Guangzhou, People’s Republ ic of China, by NewsRx journalists, research stated, “In this article, weinvest igate the problem of optimizing the joint offloading policy in a distributed man ner for multipleintelligent vehicles (IVs). During the journey in vehicular edg e computing (VEC) networks, IVs continuallyoptimize their joint offloading poli cy to minimize the long-term accumulated costs generated by executingcomputatio nal tasks.”
GuangzhouPeople’s Republic of ChinaA siaIntelligent VehiclesTransportationSouth China University of Technology
NETL
NSTL
