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CAML: Fast Context Adaptation via Meta-Learning., , , , и . CoRR, (2018)Learning from Demonstration in the Wild., , , , , , , , , и 1 other автор(ы). CoRR, (2018)VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning., , , , , , и . ICLR, OpenReview.net, (2020)VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning., , , , , , , , и . J. Mach. Learn. Res., (2021)TACO: Learning Task Decomposition via Temporal Alignment for Control., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4661-4670. PMLR, (2018)Rapidly exploring learning trees., , и . ICRA, стр. 1541-1548. IEEE, (2017)Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation., , , , , , , , , и . ICRA, стр. 2445-2451. IEEE, (2022)Learning From Demonstration in the Wild., , , , , , , , , и 1 other автор(ы). ICRA, стр. 775-781. IEEE, (2019)Inverse Reinforcement Learning from Failure., , и . AAMAS, стр. 1060-1068. ACM, (2016)Hierarchical Imitation Learning for Stochastic Environments., , , , , , , и . IROS, стр. 1697-1704. (2023)