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Deep reinforcement learning‐based multitask hybrid computing offloading for multiaccess edge computing

https://doi.org/10.1002/int.22841
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22470openalex-snapshot
IEGA: An improved elitism‐based genetic algorithm for task scheduling problem in fog computing
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SmartStore: A blockchain and clustering based intelligent edge storage system with fairness and resilience
inferredcites →https://doi.org/10.1002/int.22528openalex-snapshot
Average utility driven data analytics on damped windows for intelligent systems with data streams
inferredcites →https://doi.org/10.1007/s11277-014-2102-7openalex-snapshot
A Survey of Mobile Cloud Computing Applications: Perspectives and Challenges
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/access.2017.2685434openalex-snapshot
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
inferredcites →https://doi.org/10.1109/access.2021.3061105openalex-snapshot
Ultra-Low Latency Multi-Task Offloading in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/comst.2014.2319555openalex-snapshot
A Survey on Device-to-Device Communication in Cellular Networks
inferredcites →https://doi.org/10.1109/comst.2017.2682318openalex-snapshot
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013494openalex-snapshot
Delay-Oriented Task Scheduling and Bandwidth Allocation in Fog Computing Networks
inferredcites →https://doi.org/10.1109/icc.2018.8422776openalex-snapshot
Computation Offloading and Resource Allocation in D2D-Enabled Mobile Edge Computing
inferredcites →https://doi.org/10.1109/icc.2019.8762023openalex-snapshot
A D2D-Assisted MEC Computation Offloading in the Blockchain-Based Framework for UDNs
inferredcites →https://doi.org/10.1109/iwcmc48107.2020.9148285openalex-snapshot
Computation Offloading With Reinforcement Learning in D2D-MEC Network
inferredcites →https://doi.org/10.1109/jiot.2019.2935543openalex-snapshot
Multiuser Resource Control With Deep Reinforcement Learning in IoT Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2020.2981557openalex-snapshot
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things
inferredcites →https://doi.org/10.1109/jsyst.2019.2921115openalex-snapshot
Task Execution Cost Minimization-Based Joint Computation Offloading and Resource Allocation for Cellular D2D MEC Systems
inferredcites →https://doi.org/10.1109/mce.2016.2590118openalex-snapshot
Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things
inferredcites →https://doi.org/10.1109/mcom.2018.1700622openalex-snapshot
Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay
inferredcites →https://doi.org/10.1109/mcom.2018.1700873openalex-snapshot
D2D Task Offloading: A Dataset-Based Q&A
inferredcites →https://doi.org/10.1109/surv.2013.062613.00160openalex-snapshot
A Survey of Mobile Cloud Computing Application Models
inferredcites →https://doi.org/10.1109/tccn.2021.3093436openalex-snapshot
NOMA-Based Multi-User Mobile Edge Computation Offloading via Cooperative Multi-Agent Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tcomm.2020.3038875openalex-snapshot
Online Learning Based Computation Offloading in MEC Systems With Communication and Computation Dynamics
inferredcites →https://doi.org/10.1109/tii.2019.2892767openalex-snapshot
Joint Computation Offloading, Power Allocation, and Channel Assignment for 5G-Enabled Traffic Management Systems
inferredcites →https://doi.org/10.1109/tii.2019.2944839openalex-snapshot
Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs
inferredcites →https://doi.org/10.1109/tmc.2019.2908154openalex-snapshot
A Socially-Aware Hybrid Computation Offloading Framework for Multi-Access Edge Computing
inferredcites →https://doi.org/10.1109/tmc.2019.2928811openalex-snapshot
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tpds.2020.3042224openalex-snapshot
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing
inferredcites →https://doi.org/10.1109/tpds.2020.3046737openalex-snapshot
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tvt.2019.2935450openalex-snapshot
Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks
inferredcites →https://doi.org/10.1109/tvt.2020.2978027openalex-snapshot
Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2020.3003898openalex-snapshot
Joint Optimization Strategy of Computation Offloading and Resource Allocation in Multi-Access Edge Computing Environment
inferredcites →https://doi.org/10.1109/tvt.2021.3093892openalex-snapshot
Energy-Efficient D2D-Assisted Computation Offloading in NOMA-Enabled Cognitive Networks
inferredcites →https://doi.org/10.1109/twc.2019.2896999openalex-snapshot
D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
inferredcites →https://doi.org/10.1109/twc.2021.3062616openalex-snapshot
D2D-Assisted Multi-User Cooperative Partial Offloading, Transmission Scheduling and Computation Allocating for MEC
inferredcites →https://doi.org/10.1109/wcnc.2018.8377343openalex-snapshot
Deep reinforcement learning based computation offloading and resource allocation for MEC
inferredcites →https://doi.org/10.1109/wowmom.2016.7523497openalex-snapshot
Have you asked your neighbors? A Hidden Market approach for device-to-device offloading
inferredcites →https://doi.org/10.1145/1721654.1721672openalex-snapshot
A view of cloud computing
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.11999/jeit190170openalex-snapshot
A Privacy-aware Computation Offloading Method Based on Lyapunov Optimization
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.23919/jcc.2021.03.020openalex-snapshot
Intelligent task offloading and collaborative computation over D2D communication

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/s10586-024-04518-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-024-04708-9openalex-snapshot
DELIGHT: a willingness-aware collaborative edge service offloading utilizing deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s11227-025-07228-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112164openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2022.12.093openalex-snapshot
Achieving optimal rewards in cryptocurrency stubborn mining with state transition analysis
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100996openalex-snapshot
Dynamic offloading technique for real-time edge-to-cloud computing in heterogeneous MEC–MCC and IoT devices
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103886openalex-snapshot
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104277openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2022.3206359openalex-snapshot
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Adaptive Priority Offloading with DAG for Dependent Industrial Tasks
inferred← citeshttps://doi.org/10.1155/2024/2960447openalex-snapshot
Deep Reinforcement Learning‐Based Multireconfigurable Intelligent Surface for MEC Offloading
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H. Dilpriya's Momentum (HDM) : A Multi-Strategy Gradient-Aligned Optimizer with Adaptive Per-Parameter Corrections, Cosine-Annealed Scheduling, and Convergence Guarantees for Deep Neural Networks
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