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Towards tractable optimism in model-based reinforcement learning., , , , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 1413-1423. AUAI Press, (2021)KAMA-NNs: Low-dimensional Rotation Based Neural Networks., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 236-245. PMLR, (2019)From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization., , , , и . NeurIPS, стр. 10299-10309. (2019)Ready Policy One: World Building Through Active Learning., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 591-601. PMLR, (2020)Debiasing a First-order Heuristic for Approximate Bi-level Optimization., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 6621-6630. PMLR, (2021)Variance Reduction for Evolution Strategies via Structured Control Variates., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 646-656. PMLR, (2020)Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1363-1374. PMLR, (2020)Tournaments and the strong Erdős-Hajnal Property., , , и . Eur. J. Comb., (2022)Implicit Two-Tower Policies., , , , и . CoRR, (2022)Provably Robust Blackbox Optimization for Reinforcement Learning., , , , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 683-696. PMLR, (2019)