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Subspace learning from extremely compressed measurements., , и . ACSSC, стр. 311-315. IEEE, (2014)Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models., , , , , , , , , и . CoRR, (2022)Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression., , , , и . CoRR, (2023)Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning., , , , , , , и . AKBC@NIPS, OpenReview.net, (2017)Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm., и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 558-588. PMLR, (2019)Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 766-774. PMLR, (2024)Hybrid RL: Using both offline and online data can make RL efficient., , , , , и . ICLR, OpenReview.net, (2023)Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics., , , , и . ICLR, OpenReview.net, (2022)Understanding Contrastive Learning Requires Incorporating Inductive Biases., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 19250-19286. PMLR, (2022)Rich-Observation Reinforcement Learning with Continuous Latent Dynamics., , , и . ICML, OpenReview.net, (2024)