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Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes, , , and . (2019)cite arxiv:1908.00261Comment: Additional references and discussion of prior work.The Nonstochastic Control Problem, , and . (2019)cite arxiv:1911.12178Comment: To appear at Algorithmic Learning Theory (ALT) 2020; small revisions from the last ver.Stochastic Linear Optimization under Bandit Feedback., , and . COLT, page 355-366. Omnipress, (2008)The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure., , , and . CoRR, (2019)Regularization Techniques for Learning with Matrices., , and . J. Mach. Learn. Res., (2012)The Implicit and Explicit Regularization Effects of Dropout., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10181-10192. PMLR, (2020)Provable Representation Learning for Imitation Learning via Bi-level Optimization., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 367-376. PMLR, (2020)On Provable Copyright Protection for Generative Models., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 35277-35299. PMLR, (2023)Anti-Concentrated Confidence Bonuses For Scalable Exploration., , , , and . ICLR, OpenReview.net, (2022)An Analysis of Random Design Linear Regression, , and . CoRR, (2011)