We design and evaluate DeepAutonet, a self-driving reconfigurable network exploiting deep reinforcement learning. Simulation results show that DeepAutonet can adapt its topology automatically to different traffic conditions with up to 1.9x latency reduction.
© 2019 The Author(s)
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