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Learning Domain-Independent Policies for Open List Selection, , , , , и . Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), стр. 1-9. (2022)Learning Heuristic Selection with Dynamic Algorithm Configuration, , , , и . Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21), (августа 2021)Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning., , и . CoRR, (2024)Automated Reinforcement Learning (AutoRL): A Survey and Open Problems, , , , , , , , , и 2 other автор(ы). Journal of Artificial Intelligence Research 74 (2022), (2022)Automated Dynamic Algorithm Configuration., , , , , , и . J. Artif. Intell. Res., (2022)DACBench: A Benchmark Library for Dynamic Algorithm Configuration., , , , , и . IJCAI, стр. 1668-1674. ijcai.org, (2021)Sample-Efficient Automated Deep Reinforcement Learning., , , и . ICLR, OpenReview.net, (2021)TempoRL: Learning When to Act., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 914-924. PMLR, (2021)Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization., , , и . CoRR, (2024)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization., , , , , , , , и . J. Mach. Learn. Res., (2022)