Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuxuan, Li, Rongpeng, Chen, Xianfu, Wu, Celimuge, Peng, Chenghui, Zhao, Zhifeng, Zhang, Honggang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026)
by: Meng, Kechen, et al.
Published: (2026)
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
by: Yu, Xiaoxue, et al.
Published: (2024)
by: Yu, Xiaoxue, et al.
Published: (2024)
LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence
by: Tan, Renxuan, et al.
Published: (2025)
by: Tan, Renxuan, et al.
Published: (2025)
NetGPT: Generative Pretrained Transformer for Network Traffic
by: Meng, Xuying, et al.
Published: (2023)
by: Meng, Xuying, et al.
Published: (2023)
SDN-Blockchain Based Security Routing for UAV Communication via Reinforcement Learning
by: Han, Yulu, et al.
Published: (2026)
by: Han, Yulu, et al.
Published: (2026)
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
by: Chen, Yuxuan, et al.
Published: (2023)
by: Chen, Yuxuan, et al.
Published: (2023)
Conditional Diffusion Model with OOD Mitigation as High-Dimensional Offline Resource Allocation Planner in Clustered Ad Hoc Networks
by: Meng, Kechen, et al.
Published: (2025)
by: Meng, Kechen, et al.
Published: (2025)
Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions
by: Xu, Tianheng, et al.
Published: (2025)
by: Xu, Tianheng, et al.
Published: (2025)
Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
by: Yu, Xiaoxue, et al.
Published: (2026)
by: Yu, Xiaoxue, et al.
Published: (2026)
Continual Reinforcement Learning for Digital Twin Synchronization Optimization
by: Tong, Haonan, et al.
Published: (2025)
by: Tong, Haonan, et al.
Published: (2025)
Graph Attention Reinforcement Learning for Multicast Routing and Age-Optimal Scheduling
by: Zhang, Yanning, et al.
Published: (2024)
by: Zhang, Yanning, et al.
Published: (2024)
Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning
by: Chen, Chen, et al.
Published: (2025)
by: Chen, Chen, et al.
Published: (2025)
Hybrid Intelligent Routing with Optimized Learning (HIROL) for Adaptive Routing Topology management in FANETs
by: Reddy, Ch. Naveen Kumar, et al.
Published: (2024)
by: Reddy, Ch. Naveen Kumar, et al.
Published: (2024)
Stabilizing and Optimizing Inter-Shell Routing in LEO Networks with Integrated Routing Cost
by: Wang, Yaojia, et al.
Published: (2025)
by: Wang, Yaojia, et al.
Published: (2025)
DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication
by: Zhang, Wang, et al.
Published: (2025)
by: Zhang, Wang, et al.
Published: (2025)
Enhancing Routing in SD-EONs through Reinforcement Learning: A Comparative Analysis
by: McCann, Ryan, et al.
Published: (2024)
by: McCann, Ryan, et al.
Published: (2024)
Routing Optimization Based on Distributed Intelligent Network Softwarization for the Internet of Things
by: Zormati, Mohamed Ali, et al.
Published: (2025)
by: Zormati, Mohamed Ali, et al.
Published: (2025)
Adaptive Personalized Federated Reinforcement Learning for RIS-Assisted Aerial Relays in SAGINs with Fluid Antennas
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
RouteNet-Fermi: Network Modeling With GNN (Analysis And Re-implementation)
by: Verma, Shourya, et al.
Published: (2024)
by: Verma, Shourya, et al.
Published: (2024)
LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning
by: Habib, Md Arafat, et al.
Published: (2024)
by: Habib, Md Arafat, et al.
Published: (2024)
An Overlay Multicast Routing Method Based on Network Situational Awareness and Hierarchical Multi-Agent Reinforcement Learning
by: Ye, Miao, et al.
Published: (2026)
by: Ye, Miao, et al.
Published: (2026)
Selfish Cooperation Towards Low-Altitude Economy: Integrated Multi-Service Deployment with Resilient Federated Reinforcement Learning
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System
by: Chen, Yihao, et al.
Published: (2024)
by: Chen, Yihao, et al.
Published: (2024)
Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
by: Sun, Geng, et al.
Published: (2025)
by: Sun, Geng, et al.
Published: (2025)
Directional WPT Charging for Routing-Asymmetric WRSNs with a Mobile Charger
by: Gao, Zhenguo, et al.
Published: (2024)
by: Gao, Zhenguo, et al.
Published: (2024)
Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
by: Soltani, Parham, et al.
Published: (2025)
by: Soltani, Parham, et al.
Published: (2025)
Study of Cluster-Based Routing Based on Machine Learning for UAV Networks in 6G
by: da Costa, Luis Antonio L. F., et al.
Published: (2025)
by: da Costa, Luis Antonio L. F., et al.
Published: (2025)
Queue-Aware and Resilient Routing in LEO Satellite Networks Using Multi-Agent Reinforcement Learning
by: Liaq, Mudassar, et al.
Published: (2026)
by: Liaq, Mudassar, et al.
Published: (2026)
Purification Strategy Optimization for Entanglement Routing in Quantum Networks
by: Peñas, Javier Vecino, et al.
Published: (2026)
by: Peñas, Javier Vecino, et al.
Published: (2026)
Federated Reinforcement Learning to Optimize Teleoperated Driving Networks
by: Bragato, Filippo, et al.
Published: (2024)
by: Bragato, Filippo, et al.
Published: (2024)
Enhancing Throughput for TTEthernet via Co-optimizing Routing and Scheduling: An Online Time-Varying Graph-based Method
by: He, Yaoxu, et al.
Published: (2024)
by: He, Yaoxu, et al.
Published: (2024)
Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
by: Wu, Junjie, et al.
Published: (2024)
by: Wu, Junjie, et al.
Published: (2024)
HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork
by: Chen, Xingyun, et al.
Published: (2024)
by: Chen, Xingyun, et al.
Published: (2024)
Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks
by: Doherty, Michael, et al.
Published: (2026)
by: Doherty, Michael, et al.
Published: (2026)
Joint QoS-Aware Scheduling and Precoding for Massive MIMO Systems via Deep Reinforcement Learning
by: Huang, Chih-Wei, et al.
Published: (2021)
by: Huang, Chih-Wei, et al.
Published: (2021)
VariSAC: V2X Assured Connectivity in RIS-Aided ISAC via GNN-Augmented Reinforcement Learning
by: Tang, Huijun, et al.
Published: (2025)
by: Tang, Huijun, et al.
Published: (2025)
Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-based Routing Using Deep Reinforcement Learning
by: Sani, Meisam Sharifi, et al.
Published: (2025)
by: Sani, Meisam Sharifi, et al.
Published: (2025)
TORCH: Characterizing Invalid Route Filtering via Tunnelled Observation
by: Tian, Renrui, et al.
Published: (2026)
by: Tian, Renrui, et al.
Published: (2026)
Distributed Satellite-Terrestrial Cooperative Routing Strategy Based on Minimum Hop-Count Analysis in Mega LEO Satellite Constellation
by: Feng, Xin'ao, et al.
Published: (2024)
by: Feng, Xin'ao, et al.
Published: (2024)
Smart Interrupted Routing Based on Multi-head Attention Mask Mechanism-Driven MARL in Software-defined UASNs
by: Wang, Zhenyu, et al.
Published: (2025)
by: Wang, Zhenyu, et al.
Published: (2025)
Similar Items
-
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026) -
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
by: Yu, Xiaoxue, et al.
Published: (2024) -
LLM4MAC: An LLM-Driven Reinforcement Learning Framework for MAC Protocol Emergence
by: Tan, Renxuan, et al.
Published: (2025) -
NetGPT: Generative Pretrained Transformer for Network Traffic
by: Meng, Xuying, et al.
Published: (2023) -
SDN-Blockchain Based Security Routing for UAV Communication via Reinforcement Learning
by: Han, Yulu, et al.
Published: (2026)