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Reinforcement learning - based adaptation and scheduling methods for multi-source DASH.

, , , , , и . Comput. Sci. Inf. Syst., 20 (1): 157-173 (2023)

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Quoc-Cuong Do

Ton Quoc Cuong

Kristallstruktur-Design und konzeptionelle Entwicklung zur frühzeitigen Erkennung von supramolekularen Komplexen. Uni Frankfurt Main, (2009)

Hoang-Vu Cuong

Bui Manh Cuong

Cuong Ngo-Anh

 

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Live consolidation for data centers in cloud environment., , , и . IMCOM, стр. 22:1-22:7. ACM, (2015)Throughput maximization for the secondary user over multi-channel cognitive radio networks., , и . ICOIN, стр. 65-69. IEEE Computer Society, (2012)Pricing control for hybrid overlay/underlay spectrum access in Cognitive Radio networks., , и . APNOMS, стр. 1-6. IEEE, (2012)Power control under QoS and interference constraint in Femtocell cognitive networks., , , , , и . ICOIN, стр. 292-297. IEEE Computer Society, (2014)A Reinforcement Learning Framework for Multi-source Adaptive Streaming., , , , , и . ICCCI, том 12876 из Lecture Notes in Computer Science, стр. 416-426. Springer, (2021)HiLiCLoud: High performance and lightweight mobile cloud infrastructure for monitor and benchmark services., , , , , , и . APNOMS, стр. 416-419. IEEE, (2015)Optimal Queueing Control in Hybrid Overlay/Underlay Spectrum Access in Cognitive Radio Networks., , и . VTC Spring, стр. 1-5. IEEE, (2012)Toward service selection game in a heterogeneous market cloud computing., , , , , и . IM, стр. 44-52. IEEE, (2015)Pricing mechanisms and equilibrium behaviors of noncooperative users in cognitive radio networks., , , и . GLOBECOM, стр. 913-918. IEEE, (2013)Reinforcement learning - based adaptation and scheduling methods for multi-source DASH., , , , , и . Comput. Sci. Inf. Syst., 20 (1): 157-173 (2023)