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Opportunistic Scheduling as Restless Bandits., , , and . CoRR, (2017)Optimal adaptive testing for epidemic control: combining molecular and serology tests., , , , , , and . CoRR, (2021)A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1497-1507. PMLR, (2020)A Decentralized Proximal Point-type Method for Saddle Point Problems., , , , , and . CoRR, (2019)What is a Good Metric to Study Generalization of Minimax Learners?, , , and . NeurIPS, (2022)Whittle indexability in egalitarian processor sharing systems., and . Ann. Oper. Res., 317 (2): 417-437 (2022)An Optimal Multistage Stochastic Gradient Method for Minimax Problems., , and . CDC, page 3573-3579. IEEE, (2020)Optimal distributed scheduling for single-hop wireless networks., and . WiOpt, page 1-8. IEEE, (2017)Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence., , and . CoRR, (2022)Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation., , , and . CoRR, (2022)