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Paper Citation Record · LEDGER

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures

As of 22 August 2026, this Paper Citation Record lists 100 of 133 outbound references and 0 inbound Pith citation observations for arXiv:2502.06963.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.06963 v3

Coverage vector

measured 100 of 133 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:15:43.591423Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 133 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved61
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation dc11a10f-3d70-4cb9-bb08-77d108a43ccc · outbound

This paper cites Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies,

Reference 1

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Observation ab577472-e5a7-4baa-8b6f-91772e26fecd · outbound

This paper cites Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions,

Reference 2

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Observation 496322b6-5b9c-4b15-a5de-58b1e2321c25 · outbound

This paper cites A Survey on Mobile Edge Computing: The Communication Perspective,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Mobile Edge Computing: The Communication Perspective,

Reference 3

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Observation e329d453-79ac-4520-b703-fd8c6eedbada · outbound

This paper cites RL/DRLMeets VehicularTaskOffloadingUsing Edgeand Vehicular Cloudlet: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures RL/DRLMeets VehicularTaskOffloadingUsing Edgeand Vehicular Cloudlet: A Survey,

Reference 4

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Observation 765c4f93-2e9c-4448-80ad-3e19a9e457ae · outbound

This paper cites Content Popularity Prediction Towards Location-Aware Mobile Edge Caching,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Content Popularity Prediction Towards Location-Aware Mobile Edge Caching,

Reference 5

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Observation 474f99ca-f386-4f4e-8545-91de866e35cd · outbound

This paper cites Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network,

Reference 6

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Observation 8de2e6b1-9f89-4161-9c78-a6e80da1d660 · outbound

This paper cites A Survey of Multi-Access Edge Computing and Vehicular Network- ing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey of Multi-Access Edge Computing and Vehicular Network- ing,

Reference 7

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Observation be2ca6d0-c4a4-404f-9959-067c9ae175ef · outbound

This paper cites A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches,

Reference 8

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Observation b1f0fde1-4813-4fc9-a767-ea1af02363fb · outbound

This paper cites Multi-Access Edge Computing: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Access Edge Computing: A Survey,

Reference 9

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Observation 438266bb-c706-4c42-8d6b-795dec61e489 · outbound

This paper cites Mobile Edge Computing Towards 5G: Vision, Recent Progress, and Open Challenges,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Mobile Edge Computing Towards 5G: Vision, Recent Progress, and Open Challenges,

Reference 10

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Observation d2f75e02-dec0-42f0-84af-d19566a8b0d5 · outbound

This paper cites Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities,

Reference 11

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Observation eae585cf-f6f5-47c7-a978-f96957f889aa · outbound

This paper cites A Survey of Vehicular Network Systems for Road Traffic Management,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey of Vehicular Network Systems for Road Traffic Management,

Reference 12

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Observation 7fa045a2-7f75-4464-925a-d8951c6416d4 · outbound

This paper cites DSRC Versus LTE-V2X: Empirical Performance Analysis of Direct Vehicular Communication Technologies,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures DSRC Versus LTE-V2X: Empirical Performance Analysis of Direct Vehicular Communication Technologies,

Reference 13

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Observation 9c30103c-cdcb-4fc7-8945-6da48ef13661 · outbound

This paper cites A Survey on Service Migration in Mobile Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Service Migration in Mobile Edge Computing,

Reference 14

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Observation ae7dd412-e661-40e9-a170-af590923d470 · outbound

This paper cites Vehicular Cloud Resource Management, Issues and Challenges: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Vehicular Cloud Resource Management, Issues and Challenges: A Survey,

Reference 15

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Observation 752cec57-ac89-4380-96c5-5db53374f66d · outbound

This paper cites Mobile Edge Computing: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Mobile Edge Computing: A Survey,

Reference 16

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Observation 0fda7e4b-a8be-4c5e-a218-99bbe691f729 · outbound

This paper cites Edge Computing: Vision and Challenges,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Edge Computing: Vision and Challenges,

Reference 17

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Observation 9a12f9e7-30fa-4cf2-b114-488cdbcf9987 · outbound

This paper cites Cloud and Edge Computing Architectures: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Cloud and Edge Computing Architectures: A Survey,

Reference 18

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Observation 51350baf-3df1-4a1b-a41e-05af94d9cf08 · outbound

This paper cites Edge Computing: Architecture, Application, Opportuni- ties, and Challenges,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Edge Computing: Architecture, Application, Opportuni- ties, and Challenges,

Reference 19

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Observation d7fd849c-72ba-45d5-9b2e-ca16710ea19c · outbound

This paper cites A Survey of State-of-the-Art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey of State-of-the-Art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths,

Reference 20

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Observation 09387daa-6546-4fb3-823f-5f0aadb54067 · outbound

This paper cites Profit Optimization for Mobile Edge Computing Using Genetic Algorithm,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Profit Optimization for Mobile Edge Computing Using Genetic Algorithm,

Reference 21

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Observation 556731f1-eefd-4b1a-b21a-0471411f9965 · outbound

This paper cites Mobile Device Association and Resource Allocation in HCNs With Mobile Edge Computing and Caching,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Mobile Device Association and Resource Allocation in HCNs With Mobile Edge Computing and Caching,

Reference 22

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Observation 01b202f7-a4cd-40d6-a066-71a994f1cd4c · outbound

This paper cites epcAware: A Game-Based, Energy, Performance and Cost-Efficient Resource Man- agement Technique for Multi-Access Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures epcAware: A Game-Based, Energy, Performance and Cost-Efficient Resource Man- agement Technique for Multi-Access Edge Computing,

Reference 23

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Observation ad8d31f0-e043-44ca-9d4c-1e9ad4179adc · outbound

This paper cites A Survey on Deep Reinforcement Learning-Driven Task Offloading in Aerial Access Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Deep Reinforcement Learning-Driven Task Offloading in Aerial Access Networks,

Reference 24

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Observation 4293413b-156a-4682-9200-eb686d3966df · outbound

This paper cites DeepReinforcementLearningforInternet of Things: A Comprehensive Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures DeepReinforcementLearningforInternet of Things: A Comprehensive Survey,

Reference 25

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Observation 06678502-9d9d-4021-a342-5443caaead8d · outbound

This paper cites A Survey on Multi-Agent Reinforcement Learning Methods for Vehicular Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Multi-Agent Reinforcement Learning Methods for Vehicular Networks,

Reference 26

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Observation a4ac5cb3-ff7b-48b0-acdc-f6e7f76fab10 · outbound

This paper cites DeepReinforcementLearningforMobileEdgeCaching: Review, New Features, and Open Issues,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures DeepReinforcementLearningforMobileEdgeCaching: Review, New Features, and Open Issues,

Reference 27

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Observation 7d641729-c22f-4dce-9b7d-3fabaa70e935 · outbound

This paper cites Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey,

Reference 28

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Observation be1bfb35-c7d5-48ee-a59c-11b19d4bf1c7 · outbound

This paper cites Vehicular Edge Computing and Networking: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Vehicular Edge Computing and Networking: A Survey,

Reference 29

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Observation 68b0d132-20fd-4c92-bf7a-7895ef788cd7 · outbound

This paper cites Mobile Edge Computing: A Survey on Architecture and Computation Of- floading,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Mobile Edge Computing: A Survey on Architecture and Computation Of- floading,

Reference 30

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Observation cd8a09fc-261b-4d4e-978c-19498b3672af · outbound

This paper cites Fog Computing and the Internet of Things (IoT): A Review,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Fog Computing and the Internet of Things (IoT): A Review,

Reference 31

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Observation fce081fe-b083-43ad-a55c-ac2751f11ec0 · outbound

This paper cites Parked Vehicle Edge Computing: Exploiting Opportunistic Resources for Distributed Mobile Applications,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Parked Vehicle Edge Computing: Exploiting Opportunistic Resources for Distributed Mobile Applications,

Reference 32

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Observation 9f360058-1b43-4ff3-b307-291149b0e483 · outbound

This paper cites Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches,

Reference 33

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Observation ec1f1d21-4463-4abd-b598-9f3e6598109c · outbound

This paper cites Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures,

Reference 34

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Observation 93aed14e-3abe-4011-92d7-7d3ae1d59660 · outbound

This paper cites Edge Computing in VANETs-An Efficient and Privacy-Preserving Cooperative Downloading Scheme,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Edge Computing in VANETs-An Efficient and Privacy-Preserving Cooperative Downloading Scheme,

Reference 35

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Observation 8f6708e0-6e9d-499c-b31d-feb1a6f6d4a4 · outbound

This paper cites A Comprehensive SurveyonVehicularAdHocNetworks(VANETs),.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Comprehensive SurveyonVehicularAdHocNetworks(VANETs),

Reference 36

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source=pdf_text observed=2026-08-08T14:15:43.290803Z digest=sha256:49f763a3ef9f9622a39381cff6fe34951352c19785affcbfd8dba5209d51c6a4

Observation 66f6dff7-1687-4d42-9f95-cd152e4e7231 · outbound

This paper cites UAV-Enhanced Edge Intelligence: A Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures UAV-Enhanced Edge Intelligence: A Survey,

Reference 37

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Observation eb9a3457-6404-4b15-9a04-29f7ffbd2e18 · outbound

This paper cites IntegratingMobileEdgeComputingIntoUnmanned Aerial Vehicle Networks: An SDN-Enabled Architecture,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures IntegratingMobileEdgeComputingIntoUnmanned Aerial Vehicle Networks: An SDN-Enabled Architecture,

Reference 38

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source=pdf_text observed=2026-08-08T14:15:43.299665Z digest=sha256:446811573f2b2b6e2fda1f619b0d8b47ff3cd5be1806de58488bbad793270f49

Observation 7a8ad7b9-a2ba-473e-8e34-5638f4a1ba09 · outbound

This paper cites A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges,

Reference 39

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source=pdf_text observed=2026-08-08T14:15:43.303991Z digest=sha256:5d5a48df2fc1b5161ee7bd7ea524e8c3c3f55f04e00bdee43dcbb239237dfdca

Observation f05ecb0b-5c2a-4a2d-a34a-34afb0e62eae · outbound

This paper cites an unresolved cited work.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-08T14:15:43.308206Z digest=sha256:38da144111328d66b8eb5ab719cc611c1f9f7ffa27019725537d7a53845a84f2

Observation 943a2053-63d8-409a-84dc-0705f2f4847e · outbound

This paper cites Bellman,Dynamic Programming.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Bellman,Dynamic Programming

Reference 41

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source=pdf_text observed=2026-08-08T14:15:43.312363Z digest=sha256:bc9589fc34bf8daa796a49fc90dee269143e1d5e2f8b9cf1211829888b9ada20

Observation 043a283a-b0de-4c15-8f33-5fac1b48d357 · outbound

This paper cites Neural Fitted Q Iteration-First Experiences With a Data Efficient Neural Reinforcement Learning Method,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Neural Fitted Q Iteration-First Experiences With a Data Efficient Neural Reinforcement Learning Method,

Reference 42

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source=pdf_text observed=2026-08-08T14:15:43.316620Z digest=sha256:bcd5230517baf6813fc8541029afbb65b12cdaf441376876f1ac10b9d62c2fc5

Observation 3bcb998f-3fa0-4e03-a572-208ef16474b1 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Playing Atari with Deep Reinforcement Learning

Reference 43

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source=pdf_text observed=2026-08-08T14:15:43.321185Z digest=sha256:5ee7d394d887d8daeaaa09a66587f60779e6257837d00c269917ccc0307f137f

Observation e73ec29c-0d24-4e16-b22b-f1df7e4fc7a0 · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning with Double Q-learning

Reference 44

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source=pdf_text observed=2026-08-08T14:15:43.327071Z digest=sha256:11ace6d207eb4aac929a1c3916e6f6a4852b9da204e89e77859ebee4825e79ad

Observation 43862516-88fb-434e-aaea-3078f9cf3e77 · outbound

This paper cites Actor-Critic Algorithms,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Actor-Critic Algorithms,

Reference 45

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source=pdf_text observed=2026-08-08T14:15:43.331666Z digest=sha256:ee66f4eb094b89e763679ac2dab5f448766449b718d89f53c274e0d529d39df9

Observation 0d0cfee1-a730-489a-8410-6c05809822e1 · outbound

This paper cites Trust Region Policy Optimization,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Trust Region Policy Optimization,

Reference 46

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source=pdf_text observed=2026-08-08T14:15:43.335791Z digest=sha256:2ed303069a600e5d2dfa8f8bcfb19434faffbb6c673dd30dab5d14f93415e44d

Observation e24ecf71-d9bd-4675-a9fe-ef201d21e856 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Proximal Policy Optimization Algorithms

Reference 47

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source=pdf_text observed=2026-08-08T14:15:43.340187Z digest=sha256:15ebff242cdfa0a74e4ee63e11e8e0ca6ba2b913da03cf5752af65b744fb39f6

Observation 27b605e1-30ff-47a7-b3bc-e27712e49098 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning With a Stochastic Actor,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning With a Stochastic Actor,

Reference 48

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source=pdf_text observed=2026-08-08T14:15:43.345462Z digest=sha256:faa5824f7e95c083392d8d081753bb61ce98690446b03818b83bb650824917aa

Observation ba16e166-9134-4399-9eed-d91a8d112267 · outbound

This paper cites Continuous control with deep reinforcement learning.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Continuous control with deep reinforcement learning

Reference 49

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source=pdf_text observed=2026-08-08T14:15:43.350557Z digest=sha256:82590b4975f9a6e4a507cf31244076ee5d8ebc37959976d2c7b9710c286a02df

Observation bd78349e-befd-46d6-9152-c7d23650ab00 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Addressing Function Approximation Error in Actor-Critic Methods

Reference 50

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source=pdf_text observed=2026-08-08T14:15:43.355498Z digest=sha256:1d13b2ee9698a73acf4c6801c04b21215ea55c96e1e1c7d52050697cff327c5f

Observation 2de1d4bb-95bc-4ca3-b816-9749cfe4134d · outbound

This paper cites Value-Decomposition Networks for Cooperative Multi-Agent Learning,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Value-Decomposition Networks for Cooperative Multi-Agent Learning,

Reference 51

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source=pdf_text observed=2026-08-08T14:15:43.361195Z digest=sha256:52d8f06f577518091caf736c3a9d6d5441802d55614ad81a53f8178a5289ffde

Observation 5f0665a3-37c8-41e0-8137-0ac58045b0f5 · outbound

This paper cites Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments,

Reference 52

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source=pdf_text observed=2026-08-08T14:15:43.365729Z digest=sha256:54d0cfe1f4a8a4ee30d78ece5024cd1cbc8d31660f4786e2b260b591559f6dba

Observation 7eaaa75a-691a-484a-b564-d1bb4c73f826 · outbound

This paper cites Collaborative Computa- tion Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Collaborative Computa- tion Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach,

Reference 53

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source=pdf_text observed=2026-08-08T14:15:43.370202Z digest=sha256:8676df34791c2416dcd9301c3c81e7d0a54afabfac05507338a3b1b4955f900e

Observation a4122a38-892f-4d6a-96da-fc6eccc4d865 · outbound

This paper cites Cooperative Data Sensing and Computation Offloading in UAV-Assisted Crowdsensing With Multi-Agent Deep Reinforcement Learning,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Cooperative Data Sensing and Computation Offloading in UAV-Assisted Crowdsensing With Multi-Agent Deep Reinforcement Learning,

Reference 54

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source=pdf_text observed=2026-08-08T14:15:43.374829Z digest=sha256:2974e03f2b36ce269a3de4c40a57e8baca68113c11f9da068c47a7da2a87a726

Observation 1bb62525-9281-4d2b-a790-468f60bb719e · outbound

This paper cites Multi-Agent Reinforcement Learning–Based Resource Allocation for UAV Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Agent Reinforcement Learning–Based Resource Allocation for UAV Networks,

Reference 55

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source=pdf_text observed=2026-08-08T14:15:43.379901Z digest=sha256:22a6333ec072eb7b1aec331be0554c836a36124eb0b123b97ed1f3781cf5fdea

Observation 9c6c5a89-69dc-48be-ba56-17dfe1df5284 · outbound

This paper cites A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Reference 56

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source=pdf_text observed=2026-08-08T14:15:43.384995Z digest=sha256:60270a8c727b933cb1d935c2534147c56691c138090b8383aaeb41673576d69e

Observation fc56e9a1-3f97-48e5-b4ff-388e933486a2 · outbound

This paper cites Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems

Reference 57

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source=pdf_text observed=2026-08-08T14:15:43.390034Z digest=sha256:a74dab7208be0bd559301e493f0a2f4bfd2582bb0e218d9673a2dbe515ad7c67

Observation f966c2bb-cbb5-4eb5-9d54-296a0b15622b · outbound

This paper cites DistributedPolicyEvaluationUnderMultipleBehavior Strategies,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures DistributedPolicyEvaluationUnderMultipleBehavior Strategies,

Reference 58

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source=pdf_text observed=2026-08-08T14:15:43.395160Z digest=sha256:911d496f83e93629ce2ad502b35e21c55340cc0733070f75727f3fa657282892

Observation 6e7c2a05-218b-40a1-9a47-489c1f225ca9 · outbound

This paper cites Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments,

Reference 59

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source=pdf_text observed=2026-08-08T14:15:43.399482Z digest=sha256:01fe044d67a25afd80d27d44f016e803dacab3b8f61509ddd764b5f2de1b27be

Observation a1722790-d7f8-4750-9471-e8b7d6d1b993 · outbound

This paper cites Counterfactual Multi-Agent Policy Gradients,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Counterfactual Multi-Agent Policy Gradients,

Reference 60

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source=pdf_text observed=2026-08-08T14:15:43.404128Z digest=sha256:5afebddcb44cce364889c83c2366ce753aa5f5450b8940f7f19e0823cdf0e320

Observation 89391565-8296-48e3-a6bc-a1f41e7b716c · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 61

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source=pdf_text observed=2026-08-08T14:15:43.408498Z digest=sha256:ae4f1f944d38854dbc78830c581217917ce32d9c7d9eb0decda6c66042718a25

Observation c4bec9a6-38ce-4f5d-a9b9-10c5860c3f94 · outbound

This paper cites Fully Decentralized Multi-Agent Reinforcement Learning With Networked Agents,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Fully Decentralized Multi-Agent Reinforcement Learning With Networked Agents,

Reference 62

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raw_fallback, observed 2026-08-08T14:15:44.976103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.413668Z digest=sha256:6b7c27ef04ca6c06008f2df0367866cd64f297b49a76d6ab2a98a0f0deaad761

Observation 2827116c-564a-4342-8486-b8a9341e5498 · outbound

This paper cites Decentralized Multi-Agent DQN-Based Resource Allocation for Heterogeneous Traffic in V2X Communications,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Decentralized Multi-Agent DQN-Based Resource Allocation for Heterogeneous Traffic in V2X Communications,

Reference 63

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raw_fallback, observed 2026-08-08T14:15:44.961140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.418966Z digest=sha256:1b76e6ce48f053e36ad6d52ac98ed8b078cbc26bed53ef80330f920b282153a8

Observation 694205aa-94e9-43b1-ba57-f8d5426091cd · outbound

This paper cites Recent Developments of Game Theory and Reinforcement Learning Approaches: A Systematic Review,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Recent Developments of Game Theory and Reinforcement Learning Approaches: A Systematic Review,

Reference 64

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raw_fallback, observed 2026-08-08T14:15:44.946965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.423302Z digest=sha256:fc3cc3689bdb8699c19f95605d36370553670bdca6311840c3c9b8b3ca25302b

Observation 682d0650-6767-4849-8455-e5cc95e0564d · outbound

This paper cites Evolutionary Game Theory Combined With Reinforcement Learning Synthesis-A Comprehensive Survey,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Evolutionary Game Theory Combined With Reinforcement Learning Synthesis-A Comprehensive Survey,

Reference 65

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raw_fallback, observed 2026-08-08T14:15:44.931987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.427522Z digest=sha256:ebb36e1eefe91cae4ae88a01d4cd4f3a70387417ebf17f213f5c9b94ab2b53e2

Observation c4d0fb27-a9f0-4079-983d-afa5fc615dce · outbound

This paper cites Contract-Based Computing Resource Management via Deep Reinforcement Learning in Vehicular Fog Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Contract-Based Computing Resource Management via Deep Reinforcement Learning in Vehicular Fog Computing,

Reference 66

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raw_fallback, observed 2026-08-08T14:15:44.917428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.432908Z digest=sha256:629c8b16fc0b6ae0f904f6410c03f8ae6d91f6f828000d0857781e259b3537e6

Observation 0525bb8c-7627-4dd7-aaff-a4a297d486b6 · outbound

This paper cites Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach,

Reference 67

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raw_fallback, observed 2026-08-08T14:15:44.903055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.437931Z digest=sha256:21a0ecafc7183f776fbd288baa3fd969ef4cf289f10ae2298c64cb8cf0b6db81

Observation ff3dfd07-1c8e-4be4-9605-a37da55d0cd1 · outbound

This paper cites Advanced Energy-Efficient Com- putation Offloading Using Deep Reinforcement Learning in MTC Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Advanced Energy-Efficient Com- putation Offloading Using Deep Reinforcement Learning in MTC Edge Computing,

Reference 68

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raw_fallback, observed 2026-08-08T14:15:44.887573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.442502Z digest=sha256:4ab134b7f2d5e470e55faa054148a56fb3ac10ce014cd9fa29c8ec4d3b7b88ed

Observation 2efb250f-30f0-4944-a6d5-aec894fc0d6f · outbound

This paper cites Modeling on Energy-Efficiency Computation Offloading Using Probabilistic Action Generating,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Modeling on Energy-Efficiency Computation Offloading Using Probabilistic Action Generating,

Reference 69

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raw_fallback, observed 2026-08-08T14:15:44.872446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.446701Z digest=sha256:ec3162d78ab6e693181e2923d25e35a1e7c18985af9080db9075a4514e08aa3f

Observation 7adc4263-8a97-4023-837a-77907dd25787 · outbound

This paper cites Computation Offloading and Beamforming Optimization for Energy Minimization in Wireless-Powered IRS-Assisted MEC,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Computation Offloading and Beamforming Optimization for Energy Minimization in Wireless-Powered IRS-Assisted MEC,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.857089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.451070Z digest=sha256:aac52d302ec41f6c2bd8f2697bf037eb0c62d4832c3953cd1a41794175489b79

Observation a89508e2-34a5-4786-aea9-fba2fc2262f3 · outbound

This paper cites Deep Reinforcement Learning Based Energy-Efficient Task Offloading for Secondary Mobile Edge Systems,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning Based Energy-Efficient Task Offloading for Secondary Mobile Edge Systems,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.841709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.455292Z digest=sha256:ceabcd188454b355538bf116e9bcb24f90211f37f09d1b295f8f5c5d823d2003

Observation 6941d144-90ce-483a-9175-32a36123c757 · outbound

This paper cites Deep-Q-Network-Based Multimedia Multi-Service QoS Optimization for Mobile Edge Computing Systems,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep-Q-Network-Based Multimedia Multi-Service QoS Optimization for Mobile Edge Computing Systems,

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.826709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.460328Z digest=sha256:348326da1f02dd87c1712aaa8d8fff3e23d3165c076daca127a507b093d4a7e0

Observation 846899b0-e780-4375-a574-aaa618b50cd0 · outbound

This paper cites Game-Combined Multi-Agent DRL for Tasks Offloading in Wireless Powered MEC Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Game-Combined Multi-Agent DRL for Tasks Offloading in Wireless Powered MEC Networks,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.811654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.465516Z digest=sha256:3d7910c345ce223afdb5e3fa3ea0e4f07af7881804fb2367de220396c674240d

Observation 950acbf7-00f6-49c0-a407-03b7531f1126 · outbound

This paper cites Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.796590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.470580Z digest=sha256:339abcddff081bf8b70ebf0eb040a6bafac8c6953eff80b91279622221712a5a

Observation d6e9cf2f-d908-432c-a27a-b4efe60bd5f3 · outbound

This paper cites Multi-Agent Collaborative Optimization of UAV Trajectory and Latency-Aware DAG Task Offloading in UAV-Assisted MEC,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Agent Collaborative Optimization of UAV Trajectory and Latency-Aware DAG Task Offloading in UAV-Assisted MEC,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.781144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.475475Z digest=sha256:422437ce4c72811ab1e9a8f5d5b27e963f903f78b036526259b4d3d1e6d08443

Observation a854896e-3c78-4d59-be11-6b2451ddedd7 · outbound

This paper cites A Deep Reinforcement Learning Based Offloading Game in Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Deep Reinforcement Learning Based Offloading Game in Edge Computing,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.766328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.481214Z digest=sha256:bb890b3174e4ba3791cc9a6bd6312e06734faec3e530c688cdfd325f0fcf04b7

Observation 6a53dcc2-bbec-4309-a26b-6683b7d72fce · outbound

This paper cites Task Offloading and Serving Handover of Vehicular Edge Computing Networks Based on Trajectory Prediction,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Task Offloading and Serving Handover of Vehicular Edge Computing Networks Based on Trajectory Prediction,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.751639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.485748Z digest=sha256:66ac35373a92081fea083df27207e85321c9ccc3a1f935a7916723e98c05fccc

Observation 4f675065-8275-4834-a462-1bd703f95084 · outbound

This paper cites A Proactive Stable Scheme for Vehicular Collabo- rative Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Proactive Stable Scheme for Vehicular Collabo- rative Edge Computing,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.736407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.490722Z digest=sha256:4696ac313ee2c6588a087e60f8dc68a69c556af44d12561a2ce24e2d76bf33c0

Observation d9312082-f52d-4872-b856-693c4d4ee1fb · outbound

This paper cites Priority-Aware Task Offloading in Vehicular Fog Computing Based on Deep Reinforcement Learning,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Priority-Aware Task Offloading in Vehicular Fog Computing Based on Deep Reinforcement Learning,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.720880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.495638Z digest=sha256:55c369dcad71742f0624e989bce118850d6ba299e254cd8cb64d5ff83d0c4e7e

Observation 12f070d0-61e7-4aa9-8643-88c6f82e8ce2 · outbound

This paper cites Double Deep Q-Network Based Dynamic Framing Offloading in Vehicular Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Double Deep Q-Network Based Dynamic Framing Offloading in Vehicular Edge Computing,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.704532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.500067Z digest=sha256:8b78ca2e9a958ce8a523efd9912c53974c47ce358b23286113e7cd3d45596a0f

Observation 3ac754fb-f843-4901-8795-ff530a487a56 · outbound

This paper cites Prioritized Task Offloading in Vehicular Edge Computing Us- ing Deep Reinforcement Learning,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Prioritized Task Offloading in Vehicular Edge Computing Us- ing Deep Reinforcement Learning,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.689263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.504304Z digest=sha256:7284bc4d5bc05a8268831ea07daf5ad1c648fd30d2c036a38e296767025d2be5

Observation ccda8e04-9dbf-483b-bb8f-ac4aa676dc45 · outbound

This paper cites Service Offloading With Deep Q-Network for Digital Twinning- Empowered Internet of Vehicles in Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Service Offloading With Deep Q-Network for Digital Twinning- Empowered Internet of Vehicles in Edge Computing,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.673827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.508689Z digest=sha256:e1598605f6c6b1b45f158ef0dd0a9595c80b0ecc31b26fbaab140a50fd50b7cc

Observation dcee603f-0518-4cb0-9c75-a6f48b677a09 · outbound

This paper cites Deep Reinforcement Learning for Shared Offloading Strategy in Vehicle Edge Com- puting,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning for Shared Offloading Strategy in Vehicle Edge Com- puting,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.658097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.512977Z digest=sha256:0715acda57383b2628dbdb43dddd5e8e63908b77640fd8c1ae6acf8d46f534a3

Observation 01f34f00-56b5-423a-9237-9658c5d22fc5 · outbound

This paper cites Handover-Enabled Dynamic Computation Offloading for Vehicular Edge Computing Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Handover-Enabled Dynamic Computation Offloading for Vehicular Edge Computing Networks,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.643893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.517732Z digest=sha256:c5498c4a96f0044154c617ae70e66fa0bef417614f981a4b3be61e6398fe35a0

Observation 6c61e6d1-e41f-4542-8c9e-05c1b8aaee1d · outbound

This paper cites Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.629793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.522165Z digest=sha256:9819f0e9d87d5304619b1306ead23488fa9f4d869c95fbe86cd7888be1456d5f

Observation 8d89dc17-cea7-4db1-a9a3-a7837ac95b81 · outbound

This paper cites Deep Reinforcement Learning for Social-Aware Edge Computing and Caching in Urban Informatics,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning for Social-Aware Edge Computing and Caching in Urban Informatics,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.614540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.526683Z digest=sha256:aa38c019ed320ec6b15301b03c8a98548e072cfb7fe46a26e550d2a5ee61aeaf

Observation 3bc48698-8fb7-465d-8372-aa238ebe0198 · outbound

This paper cites MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.598652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.531041Z digest=sha256:ad8daba01f49c6662e8830c5f58090806d9635b60b3c05aa8fa747168864d75f

Observation 83e1aeb2-d963-4fa1-9128-8ad8dfff03de · outbound

This paper cites Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.581759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.535372Z digest=sha256:cb945b9a814cadb95ad57ddb401df68d0462a5c96d50c03ce4e3092d1a37240d

Observation 7b386907-e198-4060-84ba-2e6031809f3d · outbound

This paper cites A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.567429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.539628Z digest=sha256:cea2f341634f44055204f5900b942d63a8c4ada95480f677a94b128595bdef2a

Observation b2f8c57b-3208-4161-8d17-54e23c265952 · outbound

This paper cites Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.552438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.543878Z digest=sha256:029e7cbbfcdf3968b1058173cbf85bd228b67674dc77c1966ca111b4e6979914

Observation 23dd42cb-5829-4f10-987f-21a8e7e510e4 · outbound

This paper cites Multi-Agent Deep Reinforcement Learning for Com- putation Offloading and Interference Coordination in Small Cell Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Multi-Agent Deep Reinforcement Learning for Com- putation Offloading and Interference Coordination in Small Cell Networks,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.537346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.548128Z digest=sha256:e61b75be0b6e7abe91cd655511ac5ace6bc8526b18f402991ba4aac9c6de501c

Observation 94103022-2130-45b3-8bf8-bd1c90c055fc · outbound

This paper cites Huang, L.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Huang, L

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.522281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.553326Z digest=sha256:fe01f421bc183edb56c9b4bc6f9d521acf12e39642cba87ca2ffc71d944560d7

Observation 4bf105aa-e3c6-46fa-89a3-0f6d79d7e9bc · outbound

This paper cites Cooperative Multiagent Deep Reinforce- ment Learning for Computation Offloading: A Mobile Network Operator Perspective,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Cooperative Multiagent Deep Reinforce- ment Learning for Computation Offloading: A Mobile Network Operator Perspective,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.507318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.558472Z digest=sha256:d25a0154118a8085821870bd5f032476eeb25d00ae273f92d22cdee90090629b

Observation b5cc7a5d-3384-4bb5-a764-8aa306367475 · outbound

This paper cites QoE-Guaranteed Heterogeneous Task Offloading With Deep Reinforce- ment Learning in Edge Computing,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures QoE-Guaranteed Heterogeneous Task Offloading With Deep Reinforce- ment Learning in Edge Computing,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.490649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.563334Z digest=sha256:0064d81e237c66362861ec23c4e10d79c218d19f2c34a3c6f74550c5c9b3c0e9

Observation 330fa38c-ea68-4550-bd2b-fd2ea976a89f · outbound

This paper cites Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU–RSU Cooperation,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU–RSU Cooperation,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.473773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.567693Z digest=sha256:4ca3cc6a530027b8c215c009c8ae92466f16186afbd1b1c91db7f9ab481a350a

Observation be3c9893-268b-4c74-8719-a250a3618647 · outbound

This paper cites Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.459615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.571882Z digest=sha256:9d4c7bc63fc062df0ef4ea59ebd05ce5387f9235128fdb5d6d7ee78aa5cf2f78

Observation 69069b8e-ee1e-46c5-96be-5d9ed4929d84 · outbound

This paper cites Collaborative Task Offloading Optimization for Satellite Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Collaborative Task Offloading Optimization for Satellite Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.444469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.576553Z digest=sha256:5d4be034e485afec86413675b5981c7859ee6c9a94640a8a02c69360011191f6

Observation d7536dfa-c1c0-43fc-8377-1773783f73d5 · outbound

This paper cites Game Combined Multi-Agent Reinforcement Learning Approach for UAV Assisted Offloading,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Game Combined Multi-Agent Reinforcement Learning Approach for UAV Assisted Offloading,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.428454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.580942Z digest=sha256:5f13f64cb1b2bcc395901542c548c926d12443a4c8ac46be8d05c0ff19727fbe

Observation d061a969-0ffb-4bdf-b807-75414c191862 · outbound

This paper cites Joint Cooperative Computation Offloading and Trajectory Optimization in Heterogeneous UAV-Swarm-Enabled Aerial Edge Computing Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Joint Cooperative Computation Offloading and Trajectory Optimization in Heterogeneous UAV-Swarm-Enabled Aerial Edge Computing Networks,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.414406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.586140Z digest=sha256:28a121b122bdcea3ac65b01dc7ac3d57d936ae55f384753dc4d31b53d5f38573

Observation 078f679f-d36b-40a3-b0aa-c19a1540a33e · outbound

This paper cites Communication-Assisted Multi-Agent Reinforce- ment Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks,.

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures Communication-Assisted Multi-Agent Reinforce- ment Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:15:44.400127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T14:15:43.591423Z digest=sha256:c2263bf3f50309e82fd0334a02ddee6a95feab8ba819d77710901eaf3fabb59b

Pith citing papers

No inbound Pith citation observations are available.