Journal ArticleDOI
Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems
TLDR
In this paper , a multi-agent deep reinforcement learning with attention mechanism (MaDRLAM) framework is proposed to solve the two-step decision problem of task offloading and determining if the task is offloaded to the cloud.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2023-02-01. It has received 2 citations till now. The article focuses on the topics: Computer science & Computer science.read more
Citations
More filters
Journal ArticleDOI
Reinforcement learning based tasks offloading in vehicular edge computing networks
TL;DR: In this paper , the authors investigated the problem of computational requests offloading under different vehicular networking scenarios and proposed a fuzzy inference-based algorithm to identify the situation of the vehicular network (i.e., whether it is in peak hours or low hours).
Journal ArticleDOI
Performance Analysis of Task Offloading in Mobile Edge Cloud Computing for Brain Tumor Classification Using Deep Learning
R. Yamuna,Monika Rani +1 more
TL;DR: In this paper , the authors investigated the potential of mobile edge computing and task offloading to improve the performance of DL models for brain tumor classification, considering the computational capabilities of mobile devices and edge servers.
References
More filters
Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Proceedings Article
Attention is All you Need
Ashish Vaswani,Noam Shazeer,Niki Parmar,Jakob Uszkoreit,Llion Jones,Aidan N. Gomez,Lukasz Kaiser,Illia Polosukhin +7 more
TL;DR: This paper proposed a simple network architecture based solely on an attention mechanism, dispensing with recurrence and convolutions entirely and achieved state-of-the-art performance on English-to-French translation.
Journal ArticleDOI
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
TL;DR: This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing stochastic units that are shown to make weight adjustments in a direction that lies along the gradient of expected reinforcement in both immediate-reinforcement tasks and certain limited forms of delayed-reInforcement tasks, and they do this without explicitly computing gradient estimates.
Journal ArticleDOI
A Survey on Mobile Edge Computing: The Communication Perspective
TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.
Journal ArticleDOI
A survey of transfer learning
TL;DR: This survey paper formally defines transfer learning, presents information on current solutions, and reviews applications applied toTransfer learning, which can be applied to big data environments.