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Continual learning improves Internet video streaming., , , , , , , and . CoRR, (2019)Teal: Learning-Accelerated Optimization of Traffic Engineering., , , , , and . CoRR, (2022)Tambur: Efficient loss recovery for videoconferencing via streaming codes., , , , , and . NSDI, page 953-971. USENIX Association, (2023)Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices., , , , and . NSDI, page 149-165. USENIX Association, (2024)Learning in situ: a randomized experiment in video streaming., , , , , , , and . NSDI, page 495-511. USENIX Association, (2020)Resilient Baseband Processing in Virtualized RANs with Slingshot., , , , , , , , and . SIGCOMM, page 654-667. ACM, (2023)Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning., , , , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications., , , , , , , , , and 1 other author(s). APNet, page 70-75. ACM, (2022)Autothrottle: A Practical Framework for Harvesting CPUs from SLO-Targeted Microservices., , , , and . CoRR, (2022)GRACE: Loss-Resilient Real-Time Video through Neural Codecs., , , , , , , , , and 3 other author(s). NSDI, page 509-531. USENIX Association, (2024)