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Conferences > OFC > 2024 > W4I > W4I.6

Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case

Omran Ayoub, Carlos Natalino, and Paolo Monti

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Abstract

We propose an approach to extract explanations from a trained reinforcement learning agent. Our analysis over three RMSA environment variations shows how the agent uses the input information, increasing our understanding of its learned policy.

© 2024 The Author(s)

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