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Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 3589-3604. PMLR, (2022)Rate-Optimal Online Convex Optimization in Adaptive Linear Control., , and . NeurIPS, (2022)Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1304-1313. PMLR, (2021)The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks., , and . CoRR, (2020)Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 19287-19314. PMLR, (2023)Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs., , , and . CoRR, (2022)Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 1328-1337. PMLR, (2020)Rate-Optimal Online Convex Optimization in Adaptive Linear Control., , and . CoRR, (2022)Bandit Linear Control., and . NeurIPS, (2020)A General Approach to Multi-Armed Bandits Under Risk Criteria., , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 1295-1306. PMLR, (2018)