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"A communication link lifetime prediction-supported V2V partial computa" by Rui Men, Xiumei Fan et al.

Vehicle Edge Computing (VEC) is a promising technique to improve the quality of service (QoS) and quality of experience (QoE) in autonomous driving by exploiting the resources at the network edge. However, the high mobility of the vehicles leads to stochastic communication link duration, and the tasks generated by various applications in autonomous driving incur fierce competition for resources. These challenges cause excessive task completion delays. In this paper, we propose a vehicle-to-vehicle (V2V) partial computation offloading scheme that leverages the prediction results of the communication link lifetime between vehicles. A History track, Current interactions and Future planning trajectory-aware Gated Recurrent Units (HCF-GRU) network is built to capture the essential factors to improve the prediction accuracy. Then, we design a GRU-based Proximal Policy Optimization (GRU-PPO) algorithm to obtain an optimal one-to-many offloading decision to minimize the task execution cost. Th ....

Edge Computing , Gated Recurrent Units , Proximal Policy Optimization ,

DTC: Deep Tracking Control

DTC: Deep Tracking Control
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United States , Nvidia Jetson , Robosense Bpearl , Swiss National Science Foundation , European Union Horizon , Research Robotics , National Centre Of Competence , European Research Council , Boston Dynamic , Deep Tracking Control , Supplementary Methods , Proximal Policy Optimization , Intel Core , European Union , National Centre ,

Beyond Q-Star: PPO, the hidden gem in OpenAI's expanding arsenal

Proximal Policy Optimization, or PPO, is helps train computer models to make decisions in complicated or simulated situations ....

Elon Musk , Peter Welinder , Sam Altman , Artificial Intelligence , Q Star , Proximal Policy Optimization , Sam Altman ,

Perplexity vs Bard vs ChatGPT

If you are interested in learning more about the differences between Perplexity vs Bard vs ChatGPT this guide offers an overview of each. ....

Google Bard , Answer Engine , Pathways Language Model , Reinforcement Learning , Human Feedback , Proximal Policy Optimization ,