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Dimensionality Reduction for Tukey Regression., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1262-1271. PMLR, (2019)Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?, , , и . (2019)cite arxiv:1910.03016.Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels, , , , , и . (2019)Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels., , , , , и . NeurIPS, стр. 5724-5734. (2019)Optimism in Reinforcement Learning with Generalized Linear Function Approximation., , , и . ICLR, OpenReview.net, (2021)Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 42698-42723. PMLR, (2023)Exponential separations in the energy complexity of leader election., , , , и . STOC, стр. 771-783. ACM, (2017)Efficient Near-optimal Algorithms for Barter Exchange., , , и . AAMAS, стр. 362-370. ACM, (2017)Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity., , , и . CoRR, (2020)Online Sub-Sampling for Reinforcement Learning with General Function Approximation., , , и . CoRR, (2021)