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Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning
[article]
2019
arXiv
pre-print
Packet routing is one of the fundamental problems in computer networks in which a router determines the next-hop of each packet in the queue to get it as quickly as possible to its destination. Reinforcement learning (RL) has been introduced to design autonomous packet routing policies with local information of stochastic packet arrival and service. However, the curse of dimensionality of RL prohibits the more comprehensive representation of dynamic network states, thus limiting its potential
arXiv:1905.03494v2
fatcat:5vvgnwuh6jc57bos67h4gwgely