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EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.

, , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 189-199. Springer, (2022)

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Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning., , and . ICC, page 1256-1261. IEEE, (2023)A Flexible Framework for Communication-Efficient Machine Learning., , , and . AAAI, page 8101-8109. AAAI Press, (2021)Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms., and . AGI, volume 13921 of Lecture Notes in Computer Science, page 21-31. Springer, (2023)Policy Evaluation with Delayed, Aggregated Anonymous Feedback., , and . DS, volume 13601 of Lecture Notes in Computer Science, page 114-123. Springer, (2022)Communication-efficient Variance-reduced Stochastic Gradient Descent., and . CoRR, (2020)Voltage Control Using Limited Communication., , , and . IEEE Trans. Control. Netw. Syst., 6 (3): 993-1003 (2019)Improved Step-Size Schedules for Noisy Gradient Methods., , , and . ICASSP, page 3655-3659. IEEE, (2021)Optimal convergence rates of totally asynchronous optimization., , , and . CDC, page 6484-6490. IEEE, (2022)A New Family of Feasible Methods for Distributed Resource Allocation., , and . CDC, page 3355-3360. IEEE, (2021)On the Convergence of Federated Learning Algorithms without Data Similarity., , and . CoRR, (2024)