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MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding.

, , , , , and . DATE, page 558-563. IEEE, (2019)

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MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding., , , , , and . DATE, page 558-563. IEEE, (2019)A thermal stress-aware algorithm for power and temperature management of MPSoCs., , , and . DATE, page 954-959. ACM, (2015)ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals*., , and . EMBC, page 535-541. IEEE, (2021)A heuristic machine learning-based algorithm for power and thermal management of heterogeneous MPSoCs., , , and . ISLPED, page 291-296. IEEE, (2015)A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers., , , , , and . VLSI-SoC, page 211-216. IEEE, (2019)A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers., , , , , , and . VLSI-SoC, page 230-231. IEEE, (2019)Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers., , and . IEEE Trans. Parallel Distributed Syst., 29 (10): 2268-2281 (2018)A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress., , and . CODES+ISSS, page 14:1-14:2. ACM, (2017)A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs., , , and . ISCAS, page 1-5. IEEE, (2018)Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation., , , , , and . DATE, page 949-954. IEEE, (2018)