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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding., , , , , , , , , и 3 other автор(ы). NeurIPS, (2022)A Divergence Minimization Perspective on Imitation Learning Methods., , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 1259-1277. PMLR, (2019)Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters., , и . NeurIPS, (2022)Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 7435-7469. PMLR, (2022)Gradient-based Optimization of Neural Network Architecture., , , и . ICLR (Workshop), OpenReview.net, (2018)Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning., , и . DGS@ICLR, OpenReview.net, (2019)SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies., , и . NeurIPS, стр. 7879-7889. (2019)EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3682-3691. PMLR, (2021)Learning Interactive Real-World Simulators., , , , , , и . ICLR, OpenReview.net, (2024)ALOHA Unleashed: A Simple Recipe for Robot Dexterity., , , , , , и . CoRL, том 270 из Proceedings of Machine Learning Research, стр. 1910-1924. PMLR, (2024)