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Learning Linear-Quadratic Regulators Efficiently with only √T Regret., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1300-1309. PMLR, (2019)Planning and Learning with Stochastic Action Sets., , , , , , и . IJCAI, стр. 4674-4682. ijcai.org, (2018)Locally Optimal Descent for Dynamic Stepsize Scheduling., , , , , и . CoRR, (2023)Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1328-1337. PMLR, (2020)Fast Rates for Bandit PAC Multiclass Classification., , , , и . CoRR, (2024)Rate-Optimal Policy Optimization for Linear Markov Decision Processes., , , и . ICML, OpenReview.net, (2024)Learning Approximately Optimal Contracts., , и . SAGT, том 13584 из Lecture Notes in Computer Science, стр. 331-346. Springer, (2022)Following the Perturbed Leader for Online Structured Learning., и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 1034-1042. JMLR.org, (2015)Average reward reinforcement learning with unknown mixing times., , , и . CoRR, (2019)Apprenticeship Learning via Frank-Wolfe., , , и . AAAI, стр. 6720-6728. AAAI Press, (2020)