On the public citation graph

A Novel Mamba-Enhanced Deep Reinforcement Learning Framework for Efficient Task Offloading in Iot Environments

https://doi.org/10.2139/ssrn.5166949
0 signed · 42 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.comcom.2024.107925openalex-snapshot
Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing
inferredcites →https://doi.org/10.1016/j.compind.2019.04.016openalex-snapshot
A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications
inferredcites →https://doi.org/10.1016/j.compind.2022.103661openalex-snapshot
Deep learning-based object detection in augmented reality: A systematic review
inferredcites →https://doi.org/10.1016/j.dcan.2018.10.003openalex-snapshot
Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing
inferredcites →https://doi.org/10.1016/j.neucom.2019.11.081openalex-snapshot
Joint offloading and scheduling decisions for DAG applications in mobile edge computing
inferredcites →https://doi.org/10.1016/j.sysarc.2021.102225openalex-snapshot
A Survey on Task Offloading in Multi-access Edge Computing
inferredcites →https://doi.org/10.1109/cloud.2013.40openalex-snapshot
CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications
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/icws53863.2021.00064openalex-snapshot
User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach
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.2015.7218572openalex-snapshot
Hermes: Latency optimal task assignment for resource-constrained mobile computing
inferredcites →https://doi.org/10.1109/iscc61673.2024.10733620openalex-snapshot
Efficient Task Offloading in Multi-access Edge Computing Servers using Asynchronous Meta Reinforcement Learning in 5G
inferredcites →https://doi.org/10.1109/iwqos52092.2021.9521327openalex-snapshot
Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2021.3052498openalex-snapshot
IoT Service Slicing and Task Offloading for Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2021.3110412openalex-snapshot
Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2021.3123406openalex-snapshot
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2024.3366252openalex-snapshot
A2C-DRL: Dynamic Scheduling for Stochastic Edge–Cloud Environments Using A2C and Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/lcomm.2020.3048075openalex-snapshot
Meta-Learning Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1109/mcom.2019.1800971openalex-snapshot
Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning
inferredcites →https://doi.org/10.1109/mnet.2024.3383242openalex-snapshot
Deep Graph Reinforcement Learning for Mobile Edge Computing: Challenges and Solutions
inferredcites →https://doi.org/10.1109/pimrc56721.2023.10294053openalex-snapshot
A Deep Reinforcement Learning Approach for Dependency-Aware Task Offloading in Cooperative Vehicular Networks
inferredcites →https://doi.org/10.1109/tc.2020.3023169openalex-snapshot
The HPC-DAG Task Model for Heterogeneous Real-Time Systems
inferredcites →https://doi.org/10.1109/tc.2021.3131040openalex-snapshot
Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tcds.2023.3246107openalex-snapshot
A Multiagent Meta-Based Task Offloading Strategy for Mobile-Edge Computing
inferredcites →https://doi.org/10.1109/tce.2023.3338620openalex-snapshot
Energy Consumption and Time-Delay Optimization of Dependency-Aware Tasks Offloading for Industry 5.0 Applications
inferredcites →https://doi.org/10.1109/tcomm.2019.2920594openalex-snapshot
Communications, Caching, and Computing for Mobile Virtual Reality: Modeling and Tradeoff
inferredcites →https://doi.org/10.1109/tgcn.2024.3409390openalex-snapshot
HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing
inferredcites →https://doi.org/10.1109/tits.2024.3410896openalex-snapshot
A Survey of Computation Offloading With Task Types
inferredcites →https://doi.org/10.1109/tmc.2023.3247579openalex-snapshot
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tmc.2024.3363662openalex-snapshot
PtrTasking: Pointer Network Based Task Scheduling for Multi-Connectivity Enabled MEC Services
inferredcites →https://doi.org/10.1109/tnse.2023.3260882openalex-snapshot
Heterogeneous Edge Caching Based on Actor-Critic Learning With Attention Mechanism Aiding
inferredcites →https://doi.org/10.1109/tnsm.2021.3087258openalex-snapshot
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing
inferredcites →https://doi.org/10.1109/tnsm.2023.3250395openalex-snapshot
GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading
inferredcites →https://doi.org/10.1109/tnsm.2024.3387707openalex-snapshot
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds
inferredcites →https://doi.org/10.1109/tpds.2013.57openalex-snapshot
List Scheduling Algorithm for Heterogeneous Systems by an Optimistic Cost Table
inferredcites →https://doi.org/10.1109/tpds.2020.3014896openalex-snapshot
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning
inferredcites →https://doi.org/10.1109/tvt.2023.3238771openalex-snapshot
Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT
inferredcites →https://doi.org/10.1109/tvt.2023.3311537openalex-snapshot
Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-Based Multi-Agent Proximal Policy Optimization DRL With Attention Mechanism
inferredcites →https://doi.org/10.1109/tvt.2024.3387548openalex-snapshot
Towards Efficient Task Offloading With Dependency Guarantees in Vehicular Edge Networks Through Distributed Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/wcnc.2019.8885560openalex-snapshot
Delay Minimization Offloading for Interdependent Tasks in Energy-Aware Cooperative MEC Networks
inferredcites →https://doi.org/10.1145/3650031openalex-snapshot
A Resource Allocation Scheme for Edge Computing Network in Smart City Based on Attention Mechanism
inferredcites →https://doi.org/10.23919/icn.2023.0007openalex-snapshot
Energy-efficient multiuser and multitask computation offloading optimization method
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.