Task Offloading via Prioritized Experience-based Double Dueling DQN in Edge-assisted IIoT
In the Industrial Internet of Things (IIoT), Multi-access Edge Computing (MEC) emerges as a
transformative paradigm for managing computation-intensive tasks, where task offloading …
transformative paradigm for managing computation-intensive tasks, where task offloading …
Towards efficient task offloading at the edge based on meta-reinforcement learning with hybrid action space
As a critical concern of multi-access edge computing (MEC), task offloading has received
extensive attention. Although deep reinforcement learning (DRL) has achieved great …
extensive attention. Although deep reinforcement learning (DRL) has achieved great …
MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Parameterized Deep Reinforcement Learning With Hybrid Action Space for Edge Task Offloading
T Wang, Y Deng, Z Yang, Y Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) has emerged as a promising solution that can enable
low-end terminal devices to run large complex applications by offloading their tasks to edge …
low-end terminal devices to run large complex applications by offloading their tasks to edge …
: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing
In recent years, multi-access edge computing (MEC) is emerging to provide computation
and storage resources to the Internet of things (IoT) devices to assist them in high …
and storage resources to the Internet of things (IoT) devices to assist them in high …
FLIRRAS: fast learning with integrated reward and reduced action space for online multitask offloading
With the rapid development of edge data intelligence, task offloading (TO) and resource
allocation (RA) optimization in multiaccess edge computing networks can significantly …
allocation (RA) optimization in multiaccess edge computing networks can significantly …
Federated Deep Reinforcement Learning-based task offloading system in edge computing environment
H Merakchi, M Bagaa, AO Messaoud… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, Internet of Things (IoT) devices are gaining momentum globally. However, due
to their limited size, these devices have limited battery capacity, computational resources …
to their limited size, these devices have limited battery capacity, computational resources …
Multi-Objective Computation Offloading based on Decentralized Deep Reinforcement Learning in Industrial Internet of Things
Y Zhao, Z Chai, Y Li, H Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing scale of industrial equipments, delay and energy consumption have
emerged as critical concerns within the Industrial Internet of Things (Industrial IoT). Mobile …
emerged as critical concerns within the Industrial Internet of Things (Industrial IoT). Mobile …
Cache-assisted collaborative task offloading and resource allocation strategy: A metareinforcement learning approach
S Chen, L Rui, Z Gao, W Li, X Qiu - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) provides users with better Quality of Experience (QoE)
via offloading tasks to the nearby edge. However, the emergence of new Internet of Things …
via offloading tasks to the nearby edge. However, the emergence of new Internet of Things …