Copertina

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Ning, Wen, Junrui, Zhang, Meng, Tang, Ming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimal Task Offloading with Firm Deadlines for Mobile Edge Computing Systems
di: Doan, Khai, et al.
Pubblicazione: (2025)

Mean Age of Information in Partial Offloading Mobile Edge Computing Networks
di: Dong, Ying, et al.
Pubblicazione: (2024)

Timely Offloading in Mobile Edge Cloud Systems
di: Sathyavageeswaran, Nitya, et al.
Pubblicazione: (2024)

Minimizing AoI in Mobile Edge Computing: Nested Index Policy with Preemptive and Non-preemptive Structure
di: Yang, Ning, et al.
Pubblicazione: (2025)

Entropy-Aware Task Offloading in Mobile Edge Computing
di: Ardakani, Mohsen Sahraei, et al.
Pubblicazione: (2026)

Distributed Offloading in Multi-Access Edge Computing Systems: A Mean-Field Perspective
di: Aggarwal, Shubham, et al.
Pubblicazione: (2025)

Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
di: Wu, Yinyu, et al.
Pubblicazione: (2024)

Joint Trajectory, RIS, and Computation Offloading Optimization via Decentralized Model-Based PPO in Urban Multi-UAV Mobile Edge Computing
di: Wu, Liangshun, et al.
Pubblicazione: (2026)

Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness
di: Tan, Jinghong, et al.
Pubblicazione: (2025)

RL-based Adaptive Task Offloading in Mobile-Edge Computing for Future IoT Networks
di: Abbasi, Ziad Qais Al, et al.
Pubblicazione: (2025)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning
di: Zhou, Hao, et al.
Pubblicazione: (2024)

Fully Decentralized Computation Offloading in Priority-Driven Edge Computing Systems
di: Aggarwal, Shubham, et al.
Pubblicazione: (2025)

To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
di: Boscaro, Maddalena, et al.
Pubblicazione: (2024)

Reinforcement Learning based Constrained Optimal Control: an Interpretable Reward Design
di: Ni, Jingjie, et al.
Pubblicazione: (2025)

Prescribing Optimal Health-Aware Operation for Urban Air Mobility with Deep Reinforcement Learning
di: Montazeri, Mina, et al.
Pubblicazione: (2024)

Pareto Optimal Demand Response Based on Energy Costs and Load Factor in Smart Grid
di: Chiu, Wei-Yu, et al.
Pubblicazione: (2019)

TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing
di: Sun, Zemin, et al.
Pubblicazione: (2024)

Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs
di: Mondal, Abhishek, et al.
Pubblicazione: (2024)

Optimal Service Mode Assignment in a Simple Computation Offloading System: Extended Version
di: Jeff, Darin, et al.
Pubblicazione: (2025)

Transformers As Generalizable Optimal Controllers
di: Mohaya, Turki Bin, et al.
Pubblicazione: (2026)

Joint Semantic Transmission and Resource Allocation for Intelligent Computation Task Offloading in MEC Systems
di: Zheng, Yuanpeng, et al.
Pubblicazione: (2025)

TARMM: Scaling Delay-Critical Edge AI Offloading in 5G O-RAN via Temporal Graph Mobility Management
di: Yan, Peihao, et al.
Pubblicazione: (2026)

Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
di: Li, Yang, et al.
Pubblicazione: (2023)

Finite Horizon Multi-Agent Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems
di: Zhou, Mi, et al.
Pubblicazione: (2023)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
di: Chen, Yuang, et al.
Pubblicazione: (2025)

SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge
di: Erfaniantaghvayi, Negar, et al.
Pubblicazione: (2025)

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
di: Liu, Ruohong, et al.
Pubblicazione: (2024)

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
di: Ding, Jianglin, et al.
Pubblicazione: (2025)

Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
di: Jung, Sooyeob, et al.
Pubblicazione: (2025)

Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
di: Zhou, Tailin, et al.
Pubblicazione: (2024)

On-Device Deep Reinforcement Learning for Decentralized Task Offloading Performance trade-offs in the training process
di: Nieto, Gorka, et al.
Pubblicazione: (2026)

Fully Decentralized Task Offloading in Multi-Access Edge Computing Systems
di: Aggarwal, Shubham, et al.
Pubblicazione: (2024)

Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement Learning
di: Yang, Ruining, et al.
Pubblicazione: (2025)

Joint Computation Offloading and Resource Management for Cooperative Satellite-Aerial-Marine Internet of Things Networks
di: Qi, Shuang, et al.
Pubblicazione: (2025)

Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust Approach
di: Snow, Luke, et al.
Pubblicazione: (2025)

Muscle Coactivation in the Sky: Geometry and Pareto Optimality of Energy vs. Aerodynamic Promptness and Multirotors as Variable Stiffness Actuators
di: Franchi, Antonio
Pubblicazione: (2026)

The Third Evolution Equation for Optimal Control Computation
di: Zhang, Sheng, et al.
Pubblicazione: (2018)

Enhancing Secrecy Energy Efficiency in RIS-Aided Aerial Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach
di: Abdalla, Aly Sabri, et al.
Pubblicazione: (2025)

Resource Allocation for Stable LLM Training in Mobile Edge Computing
di: Liu, Chang, et al.
Pubblicazione: (2024)

Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks
di: Ni, Jingjie, et al.
Pubblicazione: (2023)