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Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation., , , and . CoRR, (2020)Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning., , , , , and . AAAI, page 17487-17495. AAAI Press, (2024)Optimizing the performance of sensor network programs through estimation-based code profiling., , and . Pervasive Mob. Comput., (2017)Understanding the Impact of Data Staging for Coupled Scientific Workflows., , , , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (10): 4134-4147 (2022)Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network., , , , , , , , , and . ICDE, page 2727-2739. IEEE, (2023)Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition., , , , , , , , , and 2 other author(s). SSDBM, page 5:1-5:12. ACM, (2022)Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition., , , , , , , , , and . SC, page 88. ACM, (2021)Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs., , , , , , , , , and 2 other author(s). IPDPS, page 859-868. IEEE, (2021)Towards Instruction Level Record and Replay of Sensor Network Applications., and . MASCOTS, page 475-484. IEEE Computer Society, (2013)MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring., , , , , , , , , and 6 other author(s). CoRR, (2024)