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Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

https://doi.org/10.1109/tccn.2020.3003036
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/glocom.2018.8647483openalex-snapshot
Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network
inferredcites →https://doi.org/10.1109/icc.2012.6363839openalex-snapshot
A fuzzy-logic-based cluster head selection algorithm in VANETs
inferredcites →https://doi.org/10.1109/jiot.2018.2869750openalex-snapshot
Revisiting Computation Partitioning in Future 5G-Based Edge Computing Environments
inferredcites →https://doi.org/10.1109/jiot.2019.2903191openalex-snapshot
Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics
inferredcites →https://doi.org/10.1109/jiot.2019.2960631openalex-snapshot
Vehicular Task Offloading via Heat-Aware MEC Cooperation Using Game-Theoretic Method
inferredcites →https://doi.org/10.1109/jproc.2019.2922285openalex-snapshot
Computation Offloading Toward Edge Computing
inferredcites →https://doi.org/10.1109/jproc.2019.2947490openalex-snapshot
Mobile Edge Intelligence and Computing for the Internet of Vehicles
inferredcites →https://doi.org/10.1109/jsac.2019.2894306openalex-snapshot
Dynamic Task Offloading and Scheduling for Low-Latency IoT Services in Multi-Access Edge Computing
inferredcites →https://doi.org/10.1109/jsac.2019.2906789openalex-snapshot
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach
inferredcites →https://doi.org/10.1109/mcom.2017.1601150openalex-snapshot
A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing
inferredcites →https://doi.org/10.1109/mcom.2017.1601156openalex-snapshot
Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions
inferredcites →https://doi.org/10.1109/tcc.2016.2525987openalex-snapshot
Follow-Me Cloud: When Cloud Services Follow Mobile Users
inferredcites →https://doi.org/10.1109/tccn.2017.2725277openalex-snapshot
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tcomm.2019.2898573openalex-snapshot
Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
inferredcites →https://doi.org/10.1109/tii.2018.2816590openalex-snapshot
Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System
inferredcites →https://doi.org/10.1109/tits.2020.2970276openalex-snapshot
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System
inferredcites →https://doi.org/10.1109/tmc.2019.2907491openalex-snapshot
Reliability-Optimal Cooperative Communication and Computing in Connected Vehicle Systems
inferredcites →https://doi.org/10.1109/tnet.2018.2841758openalex-snapshot
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
inferredcites →https://doi.org/10.1109/tnet.2019.2916577openalex-snapshot
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
inferredcites →https://doi.org/10.1109/tnse.2020.2978856openalex-snapshot
Deep Reinforcement Learning Based Resource Management for Multi-Access Edge Computing in Vehicular Networks
inferredcites →https://doi.org/10.1109/tvt.2013.2274201openalex-snapshot
Opportunistic Spectrum Access for CR-VANETs: A Game-Theoretic Approach
inferredcites →https://doi.org/10.1109/tvt.2017.2676462openalex-snapshot
An SMDP-Based Prioritized Channel Allocation Scheme in Cognitive Enabled Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.1109/tvt.2017.2714704openalex-snapshot
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling
inferredcites →https://doi.org/10.1109/tvt.2017.2760281openalex-snapshot
Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tvt.2018.2866496openalex-snapshot
MoMAC: Mobility-Aware and Collision-Avoidance MAC for Safety Applications in VANETs
inferredcites →https://doi.org/10.1109/tvt.2018.2876388openalex-snapshot
Contention Intensity Based Distributed Coordination for V2V Safety Message Broadcast
inferredcites →https://doi.org/10.1109/tvt.2019.2894437openalex-snapshot
Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tvt.2019.2895593openalex-snapshot
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
inferredcites →https://doi.org/10.1109/tvt.2019.2937842openalex-snapshot
A Novel Adaptive Resource Allocation Model Based on SMDP and Reinforcement Learning Algorithm in Vehicular Cloud System
inferredcites →https://doi.org/10.1109/tvt.2020.2968343openalex-snapshot
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
inferredcites →https://doi.org/10.1109/twc.2018.2820077openalex-snapshot
Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning

What points at this work

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

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Joint Computation Offloading and Resource Allocation for Edge-Cloud Collaboration in Internet of Vehicles via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/metacom57706.2023.00025openalex-snapshot
RSU-assisted Proactive Perception and Edge Computing for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/mnet.008.2200287openalex-snapshot
Air-Ground Collaborative Edge Intelligence for Future Generation Networks
inferred← citeshttps://doi.org/10.1109/msn57253.2022.00053openalex-snapshot
Dynamic Vehicle Aware Task Offloading Based on Reinforcement Learning in a Vehicular Edge Computing Network
inferred← citeshttps://doi.org/10.1109/mvt.2021.3114655openalex-snapshot
Slicing-Based Artificial Intelligence Service Provisioning on the Network Edge: Balancing AI Service Performance and Resource Consumption of Data Management
inferred← citeshttps://doi.org/10.1109/nca53618.2021.9685413openalex-snapshot
Leveraging Reinforcement Learning for online scheduling of real-time tasks in the Edge/Fog-to-Cloud computing continuum
inferred← citeshttps://doi.org/10.1109/ojcoms.2026.3725212openalex-snapshot
Digital Twin for Context Awareness, Security, and Resilience in Vehicular Networks for 5G and Beyond: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/ojvt.2021.3087355openalex-snapshot
Distributed Slice Selection-Based Computation Offloading for Intelligent Vehicular Networks
inferred← citeshttps://doi.org/10.1109/picom68402.2025.00020openalex-snapshot
Priority-Aware Task Offloading Using RSSI and Packet Loss in Urban Vehicular Edge Networks
inferred← citeshttps://doi.org/10.1109/pimrc56721.2023.10293768openalex-snapshot
Deep Reinforcement Learning Enabled Power Allocation for Multi-Connectivity C-V2X Downlink
inferred← citeshttps://doi.org/10.1109/pimrc56721.2023.10293789openalex-snapshot
LOMA Map for Location based Resource Management and Data Transmission in future RAN
inferred← citeshttps://doi.org/10.1109/pimrc56721.2023.10293972openalex-snapshot
AI-assisted Action in Edge Computing System: A Joint Latency and Accuracy Oriented Approach
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00372openalex-snapshot
Multi-hop Link Quality Prediction for DRL based Task Offloading in RSU-assisted IoV
inferred← citeshttps://doi.org/10.1109/tc.2024.3457729openalex-snapshot
Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tccn.2021.3136221openalex-snapshot
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tccn.2024.3417609openalex-snapshot
Asynchronous DRL-Based Multi-Hop Task Offloading in RSU-Assisted IoV Networks
inferred← citeshttps://doi.org/10.1109/tccn.2025.3548630openalex-snapshot
Intelligent and Collaborative Computing Offloading and Resource Management in Satellite-Cloud-MEC Integrated IoVs
inferred← citeshttps://doi.org/10.1109/tccn.2025.3569598openalex-snapshot
Zero-Shot Binarization Lightweight Model for a Data-Free Edge Network
inferred← citeshttps://doi.org/10.1109/tccn.2025.3596939openalex-snapshot
Learning Value of Information Towards Joint Communication and Control in 6G V2X
inferred← citeshttps://doi.org/10.1109/tccn.2025.3626412openalex-snapshot
Adaptive Information Synchronization and Prediction for Digital Twin-Enabled Autonomous Driving
inferred← citeshttps://doi.org/10.1109/tccn.2026.3694034openalex-snapshot
Joint Optimization of 3-D UAV Trajectory and Task Scheduling With Multi-Agent Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tccn.2026.3713352openalex-snapshot
Hierarchical Meta-Graph Reinforcement Learning for Collaborative GenAI Model Caching and Inference Scheduling
inferred← citeshttps://doi.org/10.1109/tccn.2026.3717940openalex-snapshot
Diffusion-Based Semantic Encoders for Secure and Efficient Edge Computing
inferred← citeshttps://doi.org/10.1109/tccn.2026.3720213openalex-snapshot
Distributed Routing for LEO Satellite Networks: A Multi-Agent Deep Reinforcement Learning Approach With State Information Lag
inferred← citeshttps://doi.org/10.1109/tccn.2026.3722833openalex-snapshot
EdgePlanner: An Edge-Assisted Agentic Framework for Autonomous Vehicle Trajectory Planning via V2X Collaboration
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3523561openalex-snapshot
Blockchain-Enabled Secure Offloading for VEC: A Multi-Agent Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tii.2020.3028963openalex-snapshot
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/tii.2022.3183465openalex-snapshot
Optimizing Federated Learning With Deep Reinforcement Learning for Digital Twin Empowered Industrial IoT
inferred← citeshttps://doi.org/10.1109/tii.2022.3213603openalex-snapshot
Energy-Efficient Collaborative Multi-Access Edge Computing via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2022.3177404openalex-snapshot
Computation Resource Configuration With Adaptive QoS Requirements for Vehicular Edge Computing: A Fluid-Model Based Approach
inferred← citeshttps://doi.org/10.1109/tits.2022.3190280openalex-snapshot
Distributed Offloading for Cooperative Intelligent Transportation Under Heterogeneous Networks
inferred← citeshttps://doi.org/10.1109/tits.2023.3249745openalex-snapshot
Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tits.2023.3325267openalex-snapshot
Deep Deterministic Policy Gradient-Based Algorithm for Computation Offloading in IoV
inferred← citeshttps://doi.org/10.1109/tits.2024.3404991openalex-snapshot
Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/tits.2026.3708858openalex-snapshot
A Tutorial on Future Vehicular Communications: From Performance Metrics to Open Research Directions
inferred← citeshttps://doi.org/10.1109/tmc.2023.3283852openalex-snapshot
Slicing-Based Task Offloading in Space-Air-Ground Integrated Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tmc.2023.3320253openalex-snapshot
Achieving Fast Environment Adaptation of DRL-Based Computation Offloading in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tmc.2023.3328996openalex-snapshot
Mobility-Aware Deep Reinforcement Learning With Seq2seq Mobility Prediction for Offloading and Allocation in Edge Computing
inferred← citeshttps://doi.org/10.1109/tmc.2023.3344645openalex-snapshot
Adaptive Swarm Intelligent Offloading Based on Digital Twin-assisted Prediction in VEC
inferred← citeshttps://doi.org/10.1109/tmc.2023.3347580openalex-snapshot
Cooperative Deep Reinforcement Learning Enabled Power Allocation for Packet Duplication URLLC in Multi-Connectivity Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tmc.2024.3376550openalex-snapshot
Dynamic Parallel Multi-Server Selection and Allocation in Collaborative Edge Computing
inferred← citeshttps://doi.org/10.1109/tmc.2025.3587744openalex-snapshot
Enhancing QoE in Collaborative Edge Systems With Feedback Diffusion Generative Scheduling
inferred← citeshttps://doi.org/10.1109/tmc.2026.3655433openalex-snapshot
Energy Efficient Offloading Policies in Multi-Access Edge Computing Systems With Task Handover
inferred← citeshttps://doi.org/10.1109/tmc.2026.3665406openalex-snapshot
Foundation Model Enhanced Joint Multi-Hop Task Offloading in Dynamic R2X/V2X-Based Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/tmc.2026.3667453openalex-snapshot
Omni-DDPG-Based Secure Computation Offloading in Collaborative Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tmc.2026.3710011openalex-snapshot
DRIVE: Dynamic Resource-Aware Intelligent Task Offloading in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tnet.2023.3279512openalex-snapshot
Accelerating DNN Inference With Reliability Guarantee in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tnse.2021.3115054openalex-snapshot
Deadline-Aware Task Offloading With Partially-Observable Deep Reinforcement Learning for Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.1109/tnse.2024.3432893openalex-snapshot
HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing
inferred← citeshttps://doi.org/10.1109/tnse.2026.3713479openalex-snapshot
Sensing Strategy Optimization for Satellite-Assisted Vehicular Crowdsensing in Non-Terrestrial Networks
inferred← citeshttps://doi.org/10.1109/tnse.2026.3728880openalex-snapshot
AG-CoDiff: Aerial–Ground Cooperative Diffusion System for Enhancing AIGC Services in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3123959openalex-snapshot
DeepEdge: A New QoE-Based Resource Allocation Framework Using Deep Reinforcement Learning for Future Heterogeneous Edge-IoT Applications
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3201470openalex-snapshot
Dynamic D2D Multihop Offloading in Multi-Access Edge Computing From the Perspective of Learning Theory in Games
inferred← citeshttps://doi.org/10.1109/ton.2025.3629759openalex-snapshot
Online Scheduling With Trajectory Prediction for Collaborative DNN Inference in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tsc.2021.3116280openalex-snapshot
An Efficient Online Computation Offloading Approach for Large-Scale Mobile Edge Computing via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tsc.2025.3632862openalex-snapshot
MGCO: Mobility-Aware Generative Computation Offloading in Edge-Cloud Systems
inferred← citeshttps://doi.org/10.1109/tvt.2021.3062653openalex-snapshot
Adaptive Computing Scheduling for Edge-Assisted Autonomous Driving
inferred← citeshttps://doi.org/10.1109/tvt.2021.3071983openalex-snapshot
Joint Network Control and Resource Allocation for Space-Terrestrial Integrated Network Through Hierarchal Deep Actor-Critic Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tvt.2021.3119585openalex-snapshot
Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2021.3134272openalex-snapshot
Multi-Agent Deep Reinforcement Learning-Empowered Channel Allocation in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tvt.2021.3134715openalex-snapshot
Traffic Routing-Based Computation Offloading in Cybertwin-Driven Internet of Vehicles for V2X Applications
inferred← citeshttps://doi.org/10.1109/tvt.2022.3171817openalex-snapshot
Intelligent Computation Offloading for MEC-Based Cooperative Vehicle Infrastructure System: A Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2022.3204398openalex-snapshot
Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2022.3217323openalex-snapshot
Cooperative Computational Offloading in Mobile Edge Computing for Vehicles: A Model-Based DNN Approach
inferred← citeshttps://doi.org/10.1109/tvt.2022.3220571openalex-snapshot
Joint Offloading Scheduling and Resource Allocation in Vehicular Edge Computing: A Two Layer Solution
inferred← citeshttps://doi.org/10.1109/tvt.2023.3244966openalex-snapshot
CoOR: Collaborative Task Offloading and Service Caching Replacement for Vehicular Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/tvt.2023.3248651openalex-snapshot
Performance Comparison of Different Deep Reinforcement Learning Algorithms for Task Scheduling Problem in Blockchain-Enabled Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/tvt.2023.3264504openalex-snapshot
A Markov Decision Process Solution for Energy-Saving Network Selection and Computation Offloading in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tvt.2023.3267181openalex-snapshot
Trusted Collaboration for MEC-Enabled VR Video Streaming: A Multi-Agent Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2023.3271613openalex-snapshot
Task Offloading and Resource Allocation in Vehicular Networks: A Lyapunov-Based Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tvt.2023.3298599openalex-snapshot
Location-Aware and Delay-Minimizing Task Offloading in Vehicular Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/tvt.2023.3312142openalex-snapshot
Multi-Hop Task Routing in Vehicle-Assisted Collaborative Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2023.3331344openalex-snapshot
Fully Distributed Task Offloading in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2024.3362841openalex-snapshot
Adaptive Task Scheduling in Digital Twin Empowered Cloud-Native Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tvt.2024.3365476openalex-snapshot
Distributed Task Scheduling for MEC-Assisted Virtual Reality: A Fully-Cooperative Multiagent Perspective
inferred← citeshttps://doi.org/10.1109/tvt.2024.3367657openalex-snapshot
DRL-Based Resource Allocation Game With Influence of Review Information for Vehicular Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/tvt.2024.3378182openalex-snapshot
Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments
inferred← citeshttps://doi.org/10.1109/tvt.2024.3399079openalex-snapshot
Relay Selection and Resource Allocation for Ad Hoc Networks-Assisted Train-to-Train Communications: A Federated Soft Actor-Critic Approach
inferred← citeshttps://doi.org/10.1109/tvt.2024.3429507openalex-snapshot
Joint Data Caching and Computation Offloading in UAV-Assisted Internet of Vehicles via Federated Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tvt.2024.3456964openalex-snapshot
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks
inferred← citeshttps://doi.org/10.1109/tvt.2024.3512944openalex-snapshot
Mobility-Aware Partial Task Offloading and Resource Allocation Based on Deep Reinforcement Learning for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2025.3531502openalex-snapshot
Joint Task Migration and Resource Allocation in Vehicular Edge Computing: A Deep Reinforcement Learning-Based Approach
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