Abstract
Reinforcement learning is an unsupervised learning method which has been used in many fields. Actually, the essence of Reinforcement learning is a decision-making problem. It constantly tries to interact with the environment. Each interaction process will get a different feedback value, and then it adjusts each trial strategy through feedback. In this paper, we apply the Reinforcement learning technology to software defined network routing algorithm, and propose the routing algorithm based on Q-learning. Through the combination of Reinforcement learning and neural network, which means the Q-table in Q-learning is replaced by neural network, we present routing algorithm based on Deep Q-learning.
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