Copertina

DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Wang, Liu, Chenguang, Pi, Yue, Zhang, Yong, Huang, Hairong, Rao, Baoquan, Ding, Yulong, Yang, Shuanghua, Jiang, Jie
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Applications of Multi-Agent Deep Reinforcement Learning Communication in Network Management: A Survey
di: Pi, Yue, et al.
Pubblicazione: (2024)

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

Programmable Packet Scheduling with Dynamic Reordering at Line Rate
di: Wang, Zekun, et al.
Pubblicazione: (2026)

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
di: Du, Chenguang, et al.
Pubblicazione: (2025)

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
di: Soltani, Parham, et al.
Pubblicazione: (2025)

A Reference Architecture for Autonomous Networks: An Agent-Based Approach
di: Sifakis, Joseph, et al.
Pubblicazione: (2025)

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
di: Boltres, Andreas, et al.
Pubblicazione: (2024)

Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks
di: He, Ke, et al.
Pubblicazione: (2025)

NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
di: Meng, Kechen, et al.
Pubblicazione: (2026)

Impact of Packetization on Network Calculus Analysis
di: Jiang, Yming
Pubblicazione: (2025)

TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences
di: Lin, Chungang, et al.
Pubblicazione: (2025)

Routing Algorithms
di: Sinha, Ujjwal, et al.
Pubblicazione: (2024)

Interference Graph Estimation for Resource Allocation in Multi-Cell Multi-Numerology Networks: A Power-Domain Approach
di: Ding, Daqian, et al.
Pubblicazione: (2025)

Stabilizing and Optimizing Inter-Shell Routing in LEO Networks with Integrated Routing Cost
di: Wang, Yaojia, et al.
Pubblicazione: (2025)

Rank-Based Modeling for Universal Packets Compression in Multi-Modal Communications
di: Luo, Xuanhao, et al.
Pubblicazione: (2025)

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)

SDN-Blockchain Based Security Routing for UAV Communication via Reinforcement Learning
di: Han, Yulu, et al.
Pubblicazione: (2026)

Graph Attention Reinforcement Learning for Multicast Routing and Age-Optimal Scheduling
di: Zhang, Yanning, et al.
Pubblicazione: (2024)

Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses
di: Wen, Jinbo, et al.
Pubblicazione: (2025)

Zeropod: Simplifying Datacenter Networking with Future-Proof Zero-Buffer Packet Switches
di: Liang, Cong, et al.
Pubblicazione: (2021)

Delay Performance Analysis with Short Packets in Intelligent Machine Network
di: Xu, Wenyan, et al.
Pubblicazione: (2025)

Technical Report: A Hierarchical Dynamically Weighting Deep Reinforcement Learning Method for Multi-UAV Multi-Task Coordination
di: Wang, Xindi, et al.
Pubblicazione: (2026)

Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
di: Chen, Yuxuan, et al.
Pubblicazione: (2025)

Routing Algorithm for Software Defined Network Based on Boxcovering Algorithm
di: Turlykozhayeva, Dana, et al.
Pubblicazione: (2024)

A First Look at Inter-Cell Interference in the Wild
di: Ding, Daqian, et al.
Pubblicazione: (2025)

Just-in-Time Packet State Prefetching
di: Ghasemirahni, Hamid, et al.
Pubblicazione: (2024)

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach
di: Zhang, Bibo, et al.
Pubblicazione: (2022)

Queue-Aware and Resilient Routing in LEO Satellite Networks Using Multi-Agent Reinforcement Learning
di: Liaq, Mudassar, et al.
Pubblicazione: (2026)

Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
di: Zhang, Yubo, et al.
Pubblicazione: (2025)

State-Compute Replication: Parallelizing High-Speed Stateful Packet Processing
di: Xu, Qiongwen, et al.
Pubblicazione: (2023)

Programmable Cycle-Specified Queue for Long-Distance Industrial Deterministic Packet Scheduling
di: Huang, Yudong, et al.
Pubblicazione: (2024)

Design Insights into Partition Placement and Routing for DNN Inference in Multi-Hop Edge Networks
di: Zhang, Jinkun, et al.
Pubblicazione: (2026)

Octopus: A Fair Packet Delivery Service
di: Gong, Junzhi, et al.
Pubblicazione: (2024)

RIFO: Pushing the Efficiency of Programmable Packet Schedulers
di: Mostafaei, Habib, et al.
Pubblicazione: (2023)

Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach
di: Wumian, Wang, et al.
Pubblicazione: (2024)

Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
di: Wu, Junjie, et al.
Pubblicazione: (2024)

A-FC: An Activity-Based Delay Tolerant Routing Protocol for Improving Future School Campus Emergency Communications
di: Jiang, Chengjun, et al.
Pubblicazione: (2026)

Kugelblitz: Executable, Cost-Aware Design-Space Exploration for Programmable Packet Pipelines
di: Ageev, Artem, et al.
Pubblicazione: (2023)

Resilient and Freshness-Aware Scheduling for Industrial Multi-Hop IAB Networks: A Packet Duplication Approach
di: Zhu, Shuo, et al.
Pubblicazione: (2026)

Multi-Agent DRL for Multi-Objective Twin Migration Routing with Workload Prediction in 6G-enabled IoV
di: Yin, Peng, et al.
Pubblicazione: (2025)