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Assigning Tasks to Workers based on Historical Data: Online Task Assignment with Two-sided Arrivals., , , and . AAMAS, page 318-326. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Sequential Decision Making with Limited Resources.. University of Maryland, College Park, MD, USA, (2019)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/25039).Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare., , , , , and . WINE, volume 11920 of Lecture Notes in Computer Science, page 129-141. Springer, (2019)Online Resource Allocation with Matching Constraints., , , , , and . AAMAS, page 1681-1689. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Algorithms to Approximate Column-Sparse Packing Problems., , , and . CoRR, (2017)Combinatorial Semi-Bandits with Knapsacks., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1760-1770. PMLR, (2018)Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity., , , and . CoRR, (2018)Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours., , , , and . CoRR, (2019)Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources., , , and . AAAI, page 1007-1014. AAAI Press, (2018)Beyond log2(T) regret for decentralized bandits in matching markets., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 705-715. PMLR, (2021)