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Large sequence models for sequential decision-making: a survey.

, , , , , , , , and . Frontiers Comput. Sci., 17 (6): 176349 (December 2023)

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Towards efficient big data processing in data centres.. Imperial College London, UK, (2017)British Library, EThOS.GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models., , , , , , , and . CoRR, (2023)Optimizing Network Performance in Distributed Machine Learning., , and . HotCloud, USENIX Association, (2015)NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres., , , , , , and . CoNEXT, page 249-262. ACM, (2014)Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo., , , , and . NSDI, page 389-405. USENIX Association, (2021)Supporting application-specific in-network processing in data centres., , , , , and . SIGCOMM, page 519-520. ACM, (2013)Towards a Network Marketplace in a Cloud., , , , , and . HotCloud, USENIX Association, (2016)KungFu: Making Training in Distributed Machine Learning Adaptive., , , , , and . OSDI, page 937-954. USENIX Association, (2020)MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment., , , , , and . ECCV (37), volume 13697 of Lecture Notes in Computer Science, page 715-731. Springer, (2022)ServerlessLLM: Low-Latency Serverless Inference for Large Language Models., , , , , , and . OSDI, page 135-153. USENIX Association, (2024)