A Routing Model Based on Reinforcement Learning Algorithm
Zhibing Zhang · 2006
With the development of internet,the routing algorithms have been improved for some special demands. Based on some former algorithms such as RIP,OSPF,BGP,some new algorithms have been given.This paper approa- ches a routing model which is based on reinforcement learning algorithms.Every routing note is treated as an Agent. Using the idea of reinforcement learning algorithms,the notes can gain some information of the net from the probability of forwarding,though it does not know the topology of the net.So the note can choose a better forwarding path. Meanwhile it can make some changes,when the block of net is occurred.This model also gives a new idea for routing algorithms which used in some special field such as QoS Routing.