Carlos Hernández-Chulde, R. Casellas, R. Martínez, R. Vilalta, R. Muñoz
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Assessment of a Latency-aware Routing and Spectrum Assignment Mechanism Based on Deep Reinforcement Learning
We present a solution based on deep reinforcement learning (DRL) that jointly addresses spectrum allocation and latency constraint in EONs. The results show that using a simple network representation, this strategy outperforms typical K-Shortest Path heuristic approach and previous DRL-based approaches.
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