:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Mao, Wei, Wei, Lili, Semiari, Omid, Yeh, Shu-ping, Nikopour, Hosein
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Networking and Internet Architecture Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2507.21385
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
di: Semiari, Omid, et al.
Pubblicazione: (2025)

Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach
di: Semiari, Omid, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks
di: Tran, Dinh-Hieu, et al.
Pubblicazione: (2024)

Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
di: Bordin, Matteo, et al.
Pubblicazione: (2026)

Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN
di: Bordin, Matteo, et al.
Pubblicazione: (2024)

Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?
di: Çiloğlu, Berk, et al.
Pubblicazione: (2024)

Optimizing Energy and Data Collection in UAV-aided IoT Networks using Attention-based Multi-Objective Reinforcement Learning
di: Toure, Babacar, et al.
Pubblicazione: (2026)

SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks
di: Duttagupta, Abhishek, et al.
Pubblicazione: (2026)

OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization
di: Li, Siyuan, et al.
Pubblicazione: (2024)

A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
di: Abrol, Akshita, et al.
Pubblicazione: (2024)

HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
di: Han, Xiaoxu, et al.
Pubblicazione: (2024)

Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks
di: Tong, Bowei, et al.
Pubblicazione: (2025)

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning
di: Wang, Tianfu, et al.
Pubblicazione: (2024)

Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
di: Piroti, Shirwan, et al.
Pubblicazione: (2024)

Network Topology Optimization via Deep Reinforcement Learning
di: Li, Zhuoran, et al.
Pubblicazione: (2022)

Distributed Experimental Design Networks
di: Li, Yuanyuan, et al.
Pubblicazione: (2024)

Sustainable broadcasting in Blockchain Networks with Reinforcement Learning
di: Valko, Danila, et al.
Pubblicazione: (2024)

Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
di: Li, Zuguang, et al.
Pubblicazione: (2024)

MA-CDMR: An Intelligent Cross-domain Multicast Routing Method based on Multiagent Deep Reinforcement Learning in Multi-domain SDWN
di: Ye, Miao, et al.
Pubblicazione: (2024)

DeepAir: A Multi-Agent Deep Reinforcement Learning Based Scheme for an Unknown User Location Problem
di: Yamansavascilar, Baris, et al.
Pubblicazione: (2024)

GeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration
di: Ifland, Beni, et al.
Pubblicazione: (2024)

A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks
di: Gu, Peter J., et al.
Pubblicazione: (2024)

On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning
di: Zhao, Ze Yu, et al.
Pubblicazione: (2023)

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks
di: Ahmed, Abdullahi Isa, et al.
Pubblicazione: (2025)

NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
di: Lu, Haofan, et al.
Pubblicazione: (2024)

Reinforcement Learning with Non-Cumulative Objective
di: Cui, Wei, et al.
Pubblicazione: (2023)

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
di: Wang, Tianfu, et al.
Pubblicazione: (2024)

Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
di: Yan, Zijiang, et al.
Pubblicazione: (2024)

From Simulation to Reality: Practical Deep Reinforcement Learning-based Link Adaptation for Cellular Networks
di: You, Lizhao, et al.
Pubblicazione: (2026)

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
di: Vitale, Vincenzo Norman, et al.
Pubblicazione: (2025)

Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
di: Ye, Xiaowen, et al.
Pubblicazione: (2024)

Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-based Routing Using Deep Reinforcement Learning
di: Sani, Meisam Sharifi, et al.
Pubblicazione: (2025)

Adaptive Context-Aware Multi-Path Transmission Control for VR/AR Content: A Deep Reinforcement Learning Approach
di: Ahmed, Shakil, et al.
Pubblicazione: (2024)

Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV
di: Wang, Tianfu, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Backhaul Link Selection for Network Slices in IAB Networks
di: Morgado, António J., et al.
Pubblicazione: (2025)

Base Station Deployment under EMF constrain by Deep Reinforcement learning
di: Mallik, Mohammed, et al.
Pubblicazione: (2025)

Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning
di: Soto, Paola, et al.
Pubblicazione: (2024)

INTA: Intent-Based Translation for Network Configuration with LLM Agents
di: Wei, Yunze, et al.
Pubblicazione: (2025)

An Overlay Multicast Routing Method Based on Network Situational Awareness and Hierarchical Multi-Agent Reinforcement Learning
di: Ye, Miao, et al.
Pubblicazione: (2026)

APIRL: Deep Reinforcement Learning for REST API Fuzzing
di: Foley, Myles, et al.
Pubblicazione: (2024)