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Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches

, , , , and . (2018)cite arxiv:1811.08540Comment: COLT 2019.

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Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions., , and . ICML, page 1129-1136. Omnipress, (2011)Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions., , and . CISS, page 1-2. IEEE, (2014)Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches, , , , and . (2018)cite arxiv:1811.08540Comment: COLT 2019.Off-Policy Policy Gradient with State Distribution Correction., , , and . CoRR, (2019)Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7335-7344. PMLR, (2019)Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 64-66. PMLR, (2020)A Multiworld Testing Decision Service., , , , , , , , , and 2 other author(s). CoRR, (2016)Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations., , , , , , and . AAAI, page 5207-5215. AAAI Press, (2020)FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs., , , and . NeurIPS, (2020)Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling., and . COLT, volume 178 of Proceedings of Machine Learning Research, page 2776-2814. PMLR, (2022)