Robotics & Machine Learning Daily News2024,Issue(Jul.17) :49-49.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :49-49.

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)

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Abstract

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.”

Key words

Guangzhou/People’s Republic of China/A sia/Intelligent Vehicles/Transportation/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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