A Multi-Objective Multi-Agent RL-Based Approach for Task Offloading in IoT-Enabled Classrooms

J Zhang, S Huang, Z Niu, Y Lin… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the widespread deployment of smart sensors and edge computing, Internet of Things
(IoT) has become an im-portant enabler to facilitate many conventional systems, such as e …

Hybrid Decision Based Multi-Agent Deep Reinforcement learning for Task Offloading in Collaborative Edge-Cloud Computing

J Chen, Z Wu, L Wu, Y Xia, Y Wang… - 2022 IEEE 24th Int …, 2022 - ieeexplore.ieee.org
To support computing-intensive and latency-sensitive Internet-of-Things (IoT) applications,
we establish a three-layer collaborative edge-cloud computing network, in which multiple …

Task offloading in autonomous IoT systems using deep reinforcement learning and ns3-gym

AK Chabi Sika Boni, H Hassan, K Drira - Proceedings of the 11th …, 2021 - dl.acm.org
IoT systems grow quickly and are massively present in urban areas. Their successful
deployment requires autonomy that can be built on automated learning technologies such …

Qoe-guaranteed heterogeneous task offloading with deep reinforcement learning in edge computing

Z Zhou, Y Wu, J Hou - 2022 IEEE 8th International Conference …, 2022 - ieeexplore.ieee.org
In edge-enabled Internet-of-Things (IoT), various IoT applications commonly generate
heterogeneous tasks. Existing heterogeneous task offloading methods are developed to …

A cluster-based optimal computation offloading decision mechanism using RL in the IIoT field

S Koo, Y Lim - Applied Sciences, 2021 - mdpi.com
In the Industrial Internet of Things (IIoT), various tasks are created dynamically because of
the small quantity batch production. Hence, it is difficult to execute tasks only with devices …

Computation offloading with multiple agents in edge-computing–supported IoT

S Shen, Y Han, X Wang, Y Wang - ACM Transactions on Sensor …, 2019 - dl.acm.org
With the development of the Internet of Things (IoT) and the birth of various new IoT devices,
the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can …

Energy-Efficient Computation Offloading Based on Multi-Agent Deep Reinforcement Learning for Industrial Internet of Things Systems

S Chouikhi, M Esseghir… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The term Industrial Internet of Things (IIoT) was created to describe a specific area of the
Internet of Things (IoT) that integrates information and communication technologies (ICTs) …

Computation Offloading with Reinforcement Learning for Improving QoS in Edge Computing Environments

J Park, K Chung - 2022 IEEE 8th World Forum on Internet of …, 2022 - ieeexplore.ieee.org
A computation offloading scheme based on edge collaboration was proposed for smoothly
handling high delay-sensitive tasks in the Internet of Things (IoT). However, it shows poor …

BLSO: Broad Learning System-Based Scheme for Adaptive Task Offloading in Industrial IoT

J Chi, Z Cui, Y Lim - 2023 Fourteenth International Conference …, 2023 - ieeexplore.ieee.org
In the Industrial Internet of Things (IIoT) enabled by multi-access edge computing (MEC),
numerous heterogeneous devices are capable to offload computing-heavy tasks to MEC …

RL-based Computation Offloading Scheme for Improving QoE in Edge Computing Environments

J Park, K Chung - 2023 IEEE 9th World Forum on Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) devices and networks, various
services are being provided to people. However, IoT devices are limited by computing …