3 papers
cs.NI2026
Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks
Michael Doherty, Alejandra Beghelli, Laura Toni
Reinforcement learning (RL) has been widely applied to dynamic routing, modulation and spectrum assignment (RMSA) in optical networks, yet no prior work has trained a transformer m…
cs.NI2025
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty, Robin Matzner, Rasoul Sadeghi +2
The application of reinforcement learning (RL) to dynamic resource allocation in optical networks has been the focus of intense research activity in recent years, with almost 100 p…
cs.NI2025
Reinforcement Learning with Graph Attention for Routing and Wavelength Assignment with Lightpath Reuse
Michael Doherty, Alejandra Beghelli
Many works have investigated reinforcement learning (RL) for routing and spectrum assignment on flex-grid networks but only one work to date has examined RL for fixed-grid with fle…