过去一年中添加的文章，按日期排序
A multi-UAV assisted task offloading and path optimization for mobile edge computing via muti-agent deep reinforcement learning
T Ju, L Li, S Liu, Y Zhang - Journal of Network and Computer Applications, 2024 - Elsevier
2 天前 - … mobile edge computing, this paper proposes a task offloading and path optimization
approach via muti-agent deep reinforcement learning… improve computational performance. …
approach via muti-agent deep reinforcement learning… improve computational performance. …
Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning
X Pei, P Sun, Y Hu, D Li, L Tian, Z Li - Future Generation Computer Systems, 2024 - Elsevier
3 天前 - … , resulting in congestion in mobile networks and backbone networks [3]. To this
end, technologies such as Mobile Edge Computing (MEC) and cloud–edge system have been …
end, technologies such as Mobile Edge Computing (MEC) and cloud–edge system have been …
Energy saving computation offloading for dynamic CR-MEC systems with NOMA via decomposition based soft actor–critic
B Lu, J Fang, X Hong, J Shi - Expert Systems with Applications, 2024 - Elsevier
3 天前 - … in cognitive radio (CR) based mobile edge computing (MEC) systems under time-…
conventional convex optimization with deep reinforcement learning (DRL) algorithms, which …
conventional convex optimization with deep reinforcement learning (DRL) algorithms, which …
VEC Collaborative Task Offloading and Resource Allocation Based on Deep Reinforcement Learning Under Parking Assistance
J Xue, F Shao, T Zhang, G Tian, H Jiang - Wireless Personal …, 2024 - Springer
6 天前 - … This article introduces a mobile edge computing task offloading … A deep reinforcement
learning method for task offloading and … Additionally, a multi-agent reinforcement learning …
learning method for task offloading and … Additionally, a multi-agent reinforcement learning …
[HTML][HTML] Multi-Queue-Based Offloading Strategy for Deep Reinforcement Learning Tasks
R Huang, X Xie, Q Guo - Electronics, 2024 - mdpi.com
9 天前 - … With the boom in mobile internet services, computationally … Mobile edge computing
(MEC) technology allows mobile devices to offload heavy computational tasks to edge …
(MEC) technology allows mobile devices to offload heavy computational tasks to edge …
An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing
N Wang, S Pang, X Ji, H Gui, X He - Future Generation Computer Systems, 2024 - Elsevier
11 天前 - … Mobile Edge Computing (NGMEC) architecture, which leverages numerous mobile
nodes to provide users with enhanced computing … a deep reinforcement learning algorithm …
nodes to provide users with enhanced computing … a deep reinforcement learning algorithm …
DRL‐based computing offloading approach for large‐scale heterogeneous tasks in mobile edge computing
B He, H Li, T Chen - Concurrency and Computation: Practice and … - Wiley Online Library
11 天前 - … paper, a computing offloading approach based on Deep Reinforcement Learning
(DRL… and used the Deep Reinforcement Learning (DRL) method to learn the decentralized …
(DRL… and used the Deep Reinforcement Learning (DRL) method to learn the decentralized …
EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning
Y Hao, S Yang, F Li, Y Zhang, S Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
11 天前 - … Abstract—In mobile edge computing (MEC), resource … scheduling decisions using
deep reinforcement learning (DRL). … on deep reinforcement learning in iot edge computing,” …
deep reinforcement learning (DRL). … on deep reinforcement learning in iot edge computing,” …
Cross-User Dependent Task Offloading and Resource Allocation in Spatial-Temporal Dynamic MEC Networks
T Shi, T Zhang, R Zhong, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
12 天前 - … mobile edge computing (MEC) technology, which deploys computation and storage
equipment to the edge of mobile … and employ a deep reinforcement learning method for long…
equipment to the edge of mobile … and employ a deep reinforcement learning method for long…
Lyapunov-guided Deep Reinforcement Learning for service caching and task offloading in Mobile Edge Computing
N Li, L Zhai, Z Ma, X Zhu, Y Li - Computer Networks, 2024 - Elsevier
12 天前 - … By solving this single slot problem, we propose a deep reinforcement learning
algorithm for … To the best of our knowledge, online Deep Reinforcement Learning guided by the …
algorithm for … To the best of our knowledge, online Deep Reinforcement Learning guided by the …