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Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks.

, , , and . Entropy, 23 (1): 7 (2021)

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Predictive Control for Artificial Intelligence in Computer Games., , and . ICAISC, volume 5097 of Lecture Notes in Computer Science, page 1137-1148. Springer, (2008)Machine Learning Application to Transmission Quality Assessment in Optical Networks., , and . SoftCOM, page 1-3. IEEE, (2022)Integrated Learning and Planning Based on Truncating Temporal Differences.. ECML, volume 1224 of Lecture Notes in Computer Science, page 57-72. Springer, (1997)TD(lambda) learning without eligibility traces: a theoretical analysis.. J. Exp. Theor. Artif. Intell., 11 (2): 239-263 (1999)Application of ML Algorithms for Prediction of the QoT in Optical Networks with Imbalanced and Incomplete Data., , and . SoftCOM, page 1-6. IEEE, (2021)Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks., , , and . Entropy, 23 (1): 7 (2021)An Analysis of Experience Replay in Temporal Difference Learning.. Cybern. Syst., 30 (5): 341-363 (1999)Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning. CoRR, (1995)Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data., , and . Entropy, 23 (11): 1504 (2021)Unsupervised modeling anomaly detection in discussion forums posts using global vectors for text representation.. Nat. Lang. Eng., 26 (5): 551-578 (2020)