Reinforcement Learning for Routing Strategy Considering the State of Network Link
Zhao Hui Hu · Applied Mechanics and Materials · 2012
This paper presents reinforcement learning (RL) algorithm for routing strategy considering the state of network link, which can be deemed as a dynamic programming problem with stochastic needs. Through modeling those four elements and experiments, we draw the conclusion that upon the state of network link, RL is an efficient algorithm for routing strategy; the data can be efficient forwarded to the destination.