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DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing

https://doi.org/10.3390/s22239212
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What this work says

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

inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50013-xopenalex-snapshot
Residual Algorithms: Reinforcement Learning with Function Approximation
inferredcites →https://doi.org/10.1016/j.comcom.2020.05.001openalex-snapshot
A smartphone perspective on computation offloading—A survey
inferredcites →https://doi.org/10.1109/access.2019.2947053openalex-snapshot
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/access.2020.2986329openalex-snapshot
Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey
inferredcites →https://doi.org/10.1109/access.2020.3049094openalex-snapshot
Planning the Future of Smart Cities With Swarms of Fully Autonomous Unmanned Aerial Vehicles Using a Novel Framework
inferredcites →https://doi.org/10.1109/comst.2017.2745201openalex-snapshot
A Survey on Mobile Edge Computing: The Communication Perspective
inferredcites →https://doi.org/10.1109/comst.2018.2849509openalex-snapshot
Survey on Multi-Access Edge Computing for Internet of Things Realization
inferredcites →https://doi.org/10.1109/infcomw.2014.6849257openalex-snapshot
Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing
inferredcites →https://doi.org/10.1109/infocom.2019.8737559openalex-snapshot
Joint Offloading Decision and Resource Allocation with Uncertain Task Computing Requirement
inferredcites →https://doi.org/10.1109/isit.2016.7541539openalex-snapshot
Delay-optimal computation task scheduling for mobile-edge computing systems
inferredcites →https://doi.org/10.1109/jiot.2019.2892398openalex-snapshot
Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint
inferredcites →https://doi.org/10.1109/jiot.2019.2957351openalex-snapshot
Edge Cache-Assisted Secure Low-Latency Millimeter-Wave Transmission
inferredcites →https://doi.org/10.1109/lcomm.2017.2690678openalex-snapshot
Latency Aware Workload Offloading in the Cloudlet Network
inferredcites →https://doi.org/10.1109/smartcomp52413.2021.00021openalex-snapshot
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
inferredcites →https://doi.org/10.1109/tcomm.2018.2799937openalex-snapshot
Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tgcn.2018.2846524openalex-snapshot
Delay and Energy Efficiency Tradeoff for Information Pushing System
inferredcites →https://doi.org/10.1109/tmc.2015.2405539openalex-snapshot
Offloading in Mobile Cloudlet Systems with Intermittent Connectivity
inferredcites →https://doi.org/10.1109/tmc.2016.2613864openalex-snapshot
Offloading in HetNet: A Coordination of Interference Mitigation, User Association, and Resource Allocation
inferredcites →https://doi.org/10.1109/tmc.2018.2831230openalex-snapshot
Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/tmc.2018.2847337openalex-snapshot
Dynamic Computation Offloading for Mobile Cloud Computing: A Stochastic Game-Theoretic Approach
inferredcites →https://doi.org/10.1109/tmc.2020.3036871openalex-snapshot
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems
inferredcites →https://doi.org/10.1109/tnet.2018.2873002openalex-snapshot
An Efficient Computation Offloading Management Scheme in the Densely Deployed Small Cell Networks With Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tnet.2018.2876941openalex-snapshot
A Distributed Computation Offloading Strategy in Small-Cell Networks Integrated With Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tsipn.2015.2448520openalex-snapshot
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2018.2799620openalex-snapshot
Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G
inferredcites →https://doi.org/10.1109/tvt.2018.2865211openalex-snapshot
Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks With Mobile Edge Computing in Smart City
inferredcites →https://doi.org/10.1109/tvt.2019.2904244openalex-snapshot
Collaborative Cloud and Edge Computing for Latency Minimization
inferredcites →https://doi.org/10.1109/twc.2013.072513.121842openalex-snapshot
Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel
inferredcites →https://doi.org/10.1109/twc.2017.2703901openalex-snapshot
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing
inferredcites →https://doi.org/10.1109/ucc.2013.21openalex-snapshot
Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework
inferredcites →https://doi.org/10.1109/wcl.2013.122113.130825openalex-snapshot
Energy-Efficient Link Selection and Transmission Scheduling in Mobile Cloud Computing
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11796openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.3390/s20226441openalex-snapshot
Edge-Computing Architectures for Internet of Things Applications: A Survey
inferredcites →https://doi.org/10.3390/s21051666openalex-snapshot
Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing
inferredcites →https://doi.org/10.3390/s21092914openalex-snapshot
An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture
inferredcites →https://doi.org/10.48550/arxiv.1511.06581openalex-snapshot
Dueling Network Architectures for Deep Reinforcement Learning

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4824653openalex-extracted
Multi-Layer Reinforcement Learning Task Offloading Based on Softmax Policy-Guided in Smart Cities
inferred← citeshttps://doi.org/10.1002/ett.70502openalex-snapshot
Enhancing Mobile Edge Computing With Hybridized Bi‐Aqua Optimization for Task Offloading and Data Caching
inferred← citeshttps://doi.org/10.1007/978-3-031-35317-8_25openalex-snapshot
A Delay and Energy-Aware Task Offloading and Resource Optimization in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-53549-9_23openalex-snapshot
Deep Reinforcement Learning-Based Task Offloading in Multi-access Edge Computing for Marine IoT
inferred← citeshttps://doi.org/10.1007/s11227-026-08733-wopenalex-snapshot
Dependency-aware adaptive task offloading in edge-AI IoT networks using transformer-DDQN
inferred← citeshttps://doi.org/10.1007/s11432-023-3987-yopenalex-snapshot
XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks
inferred← citeshttps://doi.org/10.1016/j.adhoc.2025.104100openalex-snapshot
PGN-MO-DDQN: A preference-driven multi-objective offloading algorithm for mobile edge video analytics
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108105openalex-snapshot
Multi-layer guided reinforcement learning task offloading based on Softmax policy in smart cities
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112019openalex-snapshot
Deadline-aware service scheduling via multi-head MARL in device-edge-cloud environments
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104211openalex-snapshot
Distributed deep reinforcement learning for independent task offloading in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/ants59832.2023.10469441openalex-snapshot
Deep Q-learning Network Solution for Subjective Computational Task Scheduling in Edge Platforms
inferred← citeshttps://doi.org/10.1109/jiot.2025.3648047openalex-snapshot
Adaptive Collaborative DNN Inference via Heterogeneous Graph Attention in Edge Environments
inferred← citeshttps://doi.org/10.1109/tnse.2026.3656226openalex-snapshot
Hyper-Dimensional Computing Powered DRL for Task Offloading in Edge-Enabled Consumer Electronics
inferred← citeshttps://doi.org/10.3390/a17080320openalex-snapshot
Comparison of Reinforcement Learning Algorithms for Edge Computing Applications Deployed by Serverless Technologies
inferred← citeshttps://doi.org/10.3390/electronics12030773openalex-snapshot
Reinforcement-Learning-Based Software-Defined Edge Task Allocation Algorithm
inferred← citeshttps://doi.org/10.3390/electronics12183882openalex-snapshot
A DRL-Based Task Offloading Scheme for Server Decision-Making in Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.3390/electronics13122307openalex-snapshot
Multi-Queue-Based Offloading Strategy for Deep Reinforcement Learning Tasks
inferred← citeshttps://doi.org/10.3390/pharmaceutics17111440openalex-snapshot
Artificial Intelligence (AI) in Pharmaceutical Formulation and Dosage Calculations
inferred← citeshttps://doi.org/10.3390/s23052565openalex-snapshot
Joint Optimization of Multi-User Partial Offloading Strategy and Resource Allocation Strategy in D2D-Enabled MEC
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