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Domain Randomization and Generative Models for Robotic Grasping., , , , , , , , , и 2 other автор(ы). IROS, стр. 3482-3489. IEEE, (2018)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , и 441 other автор(ы). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research., , , , , , , , , и 2 other автор(ы). CoRR, (2018)Learning Dexterous In-Hand Manipulation., , , , , , , , , и 7 other автор(ы). CoRR, (2018)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , и 42 other автор(ы). CoRR, (2022)Unsupervised Neural Machine Translation with Generative Language Models Only., , , , , , , , , и 1 other автор(ы). CoRR, (2021)Hindsight Experience Replay., , , , , , , , , и . NIPS, стр. 5048-5058. (2017)Domain randomization for transferring deep neural networks from simulation to the real world., , , , , и . IROS, стр. 23-30. IEEE, (2017)Evaluating Large Language Models Trained on Code., , , , , , , , , и 48 other автор(ы). CoRR, (2021)Hindsight Experience Replay., , , , , , , , , и . CoRR, (2017)