Multi-Turn Reasoning LLMs for Task Offloading in Mobile Edge Computing
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Ning, Cheng, Chuangxin, Zhang, Haijun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Entropy-Aware Task Offloading in Mobile Edge Computing
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks
by: Liu, Yuelin, et al.
Published: (2025)
by: Liu, Yuelin, et al.
Published: (2025)
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
by: Yahya, Mariam, et al.
Published: (2024)
by: Yahya, Mariam, et al.
Published: (2024)
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
by: Long, Nguyen Chi, et al.
Published: (2025)
by: Long, Nguyen Chi, et al.
Published: (2025)
Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
by: Han, Runxin, et al.
Published: (2025)
by: Han, Runxin, et al.
Published: (2025)
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
by: Li, Hongbao, et al.
Published: (2025)
by: Li, Hongbao, et al.
Published: (2025)
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
by: Xie, Yu, et al.
Published: (2024)
by: Xie, Yu, et al.
Published: (2024)
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
by: Wu, Jianqiu, et al.
Published: (2023)
by: Wu, Jianqiu, et al.
Published: (2023)
Vision-LLMs for Spatiotemporal Traffic Forecasting
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
by: Fox, Andrea, et al.
Published: (2025)
by: Fox, Andrea, et al.
Published: (2025)
Efficient Edge LLMs Deployment via HessianAware Quantization and CPU GPU Collaborative
by: Zhang, Tuo, et al.
Published: (2025)
by: Zhang, Tuo, et al.
Published: (2025)
Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
by: Zhou, Yifei, et al.
Published: (2025)
by: Zhou, Yifei, et al.
Published: (2025)
Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings
by: Yuan, Liangqi, et al.
Published: (2025)
by: Yuan, Liangqi, et al.
Published: (2025)
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
by: Uddin, Ashab, et al.
Published: (2025)
by: Uddin, Ashab, et al.
Published: (2025)
Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach
by: Huang, Yaorong, et al.
Published: (2026)
by: Huang, Yaorong, et al.
Published: (2026)
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
by: Li, Junbo, et al.
Published: (2025)
by: Li, Junbo, et al.
Published: (2025)
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing
by: Liu, Jiagang, et al.
Published: (2023)
by: Liu, Jiagang, et al.
Published: (2023)
DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
by: Gu, Xueying, et al.
Published: (2024)
by: Gu, Xueying, et al.
Published: (2024)
FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems
by: Metelo, Frederico, et al.
Published: (2025)
by: Metelo, Frederico, et al.
Published: (2025)
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
by: Chen, Xiangchun, et al.
Published: (2024)
by: Chen, Xiangchun, et al.
Published: (2024)
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design
by: Wei, Quan, et al.
Published: (2025)
by: Wei, Quan, et al.
Published: (2025)
QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
by: Rahmaty, Iman, et al.
Published: (2023)
by: Rahmaty, Iman, et al.
Published: (2023)
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
by: Xiao, Canran, et al.
Published: (2025)
by: Xiao, Canran, et al.
Published: (2025)
Theory of Mixture-of-Experts for Mobile Edge Computing
by: Li, Hongbo, et al.
Published: (2024)
by: Li, Hongbo, et al.
Published: (2024)
Batching-Aware Joint Model Onloading and Offloading for Hierarchical Multi-Task Inference
by: Cha, Seohyeon, et al.
Published: (2025)
by: Cha, Seohyeon, et al.
Published: (2025)
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing
by: Perera, Minod, et al.
Published: (2025)
by: Perera, Minod, et al.
Published: (2025)
Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
by: Sun, Ruijin, et al.
Published: (2024)
by: Sun, Ruijin, et al.
Published: (2024)
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
by: Jayalath, Dulhan, et al.
Published: (2025)
by: Jayalath, Dulhan, et al.
Published: (2025)
Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative PPO
by: Jiang, Daniel R., et al.
Published: (2025)
by: Jiang, Daniel R., et al.
Published: (2025)
Cluster-Based Client Selection for Dependent Multi-Task Federated Learning in Edge Computing
by: Luo, Jieping, et al.
Published: (2025)
by: Luo, Jieping, et al.
Published: (2025)
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
by: Zhou, You, et al.
Published: (2025)
by: Zhou, You, et al.
Published: (2025)
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading
by: Hou, Qiushuo, et al.
Published: (2025)
by: Hou, Qiushuo, et al.
Published: (2025)
Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
by: Jin, Lyudong, et al.
Published: (2024)
by: Jin, Lyudong, et al.
Published: (2024)
Reinforcement Learning-based Task Offloading in the Internet of Wearable Things
by: Qaim, Waleed Bin, et al.
Published: (2025)
by: Qaim, Waleed Bin, et al.
Published: (2025)
Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
by: Jali, Neharika, et al.
Published: (2026)
by: Jali, Neharika, et al.
Published: (2026)
Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing
by: Li, Xinyi, et al.
Published: (2024)
by: Li, Xinyi, et al.
Published: (2024)
Knowledge Offloading: Decomposing LLMs into Sparse Backbones and Memory Modules
by: Galliamov, Karim, et al.
Published: (2026)
by: Galliamov, Karim, et al.
Published: (2026)
Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Similar Items
-
Entropy-Aware Task Offloading in Mobile Edge Computing
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026) -
Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks
by: Liu, Yuelin, et al.
Published: (2025) -
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
by: Yahya, Mariam, et al.
Published: (2024) -
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
by: Long, Nguyen Chi, et al.
Published: (2025) -
Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
by: Han, Runxin, et al.
Published: (2025)