Beghelli, Alejandra;
Doherty, Michael;
(2024)
XLRON: Accelerated Reinforcement Learning Environments for Optical Networks.
In:
Technical Digest Series.
Optica Publishing Group: San Diego, CA, USA.
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | XLRON: Accelerated Reinforcement Learning Environments for Optical Networks |
| Event: | Optical Fiber Conference |
| Location: | San Diego, USA |
| ISBN-13: | 978-1-957171-32-6 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://opg.optica.org/abstract.cfm?URI=OFC-2024-T... |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10185312 |
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