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Conferences > OFC > 2021 > F2G > F2G.4

Combining Long-Short Term Memory and Reinforcement Learning for Improved Autonomous Network Operation

Fatemehsadat Tabatabaeimehr, Sima Barzegar, Marc Ruiz, and Luis Velasco

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Abstract

A combined LSTM and RL approach is proposed for dynamic connection capacity allocation. The LSTM predictor anticipates periodical long-term sharp traffic changes and extends short-term RL knowledge. Numerical results show remarkable performance.

© 2021 The Author(s)

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