Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks
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OSA
Reference4 articles.
1. Dynamic Service Provisioning in Elastic Optical Networks With Hybrid Single-/Multi-Path Routing
2. On the Distance Spectrum Assignment in Elastic Optical Networks
3. Human-level control through deep reinforcement learning
4. Incentive-Driven Bidding Strategy for Brokers to Compete for Service Provisioning Tasks in Multi-Domain SD-EONs
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1. OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization;Proceedings of the 1st SIGCOMM Workshop on Hot Topics in Optical Technologies and Applications in Networking;2024-08-04
2. Throughput and latency targeted RL spectrum allocation in heterogeneous OTN;Annals of Telecommunications;2024-07-17
3. Machine Learning-based Spectrum Resource Assignment and End-to-End Path Reconfiguration for Flexible Optical Networks;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14
4. On the generalization of cognitive optical networking applications using composable machine learning;Journal of Optical Communications and Networking;2024-05-14
5. Branch-and-cut-and-price algorithm for the constrained-routing and spectrum assignment problem;Journal of Combinatorial Optimization;2024-04-14
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