XLRON: Accelerated Reinforcement Learning Environments for Optical Networks

Michael Doherty; Alejandra Beghelli

doi:10.1364/OFC.2024.Th2A.21

Optical Fiber Communication Conference (OFC) 2024
Technical Digest Series (Optica Publishing Group, 2024),
paper Th2A.21
•https://doi.org/10.1364/OFC.2024.Th2A.21

XLRON: Accelerated Reinforcement Learning Environments for Optical Networks

Michael Doherty and Alejandra Beghelli

Optical Fiber Communication Conference 2024

San Diego California United States
24–28 March 2024
ISBN: 978-1-957171-32-6

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Posters Session III, In Person (Th2A)

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M. Doherty and A. Beghelli, "XLRON: Accelerated Reinforcement Learning Environments for Optical Networks," in Optical Fiber Communication Conference (OFC) 2024, Technical Digest Series (Optica Publishing Group, 2024), paper Th2A.21.

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Abstract

We present XLRON: an open source project enabling, for the first time, GPU-accelerated reinforcement learning on optical network problems. We demonstrate 100-1000x speed-up in training time over similar tools, thereby opening new research possi-bilities.

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