Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case

TY - JOUR

T1 - Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case

AU - Tayeen, Abu Saleh Md.

AU - Biswal, Milan

AU - Mtibaa, Abderrahmen

AU - Misra, Satyajayant

N1 - Multi-Agent Reinforcement Learning (MARL) is nowadays widely used to solve real-world and complex decisions in various domains. While MARL can be categorized into independent and cooperative approaches, we consider the independent approach as a simple, more scalable, and less costly method for large-scale distributed systems, such as network packet forwarding.

PY - 2022

Y1 - 2022

UR - https://doi.org/10.48550/arXiv.2202.02349

U2 - 10.48550/arXiv.2202.02349

DO - 10.48550/arXiv.2202.02349

M3 - Article

JO - arXiv

JF - arXiv

ER -