A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

20 Sep 2017Giorgio StampaMarta AriasDavid Sanchez-CharlesVictor Muntes-MuleroAlbert Cabellos

In this paper we design and evaluate a Deep-Reinforcement Learning agent that optimizes routing. Our agent adapts automatically to current traffic conditions and proposes tailored configurations that attempt to minimize the network delay... (read more)

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