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Learning Heuristic Selection with Dynamic Algorithm Configuration

, , , , and . Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21), (August 2021)

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Learning Heuristic Selection with Dynamic Algorithm Configuration, , , , and . Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21), (August 2021)Learning Domain-Independent Policies for Open List Selection, , , , , and . Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), page 1-9. (2022)Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning., , and . CoRR, (2024)CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC., , , , and . CoRR, (2024)Automated Dynamic Algorithm Configuration., , , , , , and . J. Artif. Intell. Res., (2022)Automated Reinforcement Learning (AutoRL): A Survey and Open Problems, , , , , , , , , and 2 other author(s). Journal of Artificial Intelligence Research 74 (2022), (2022)Sample-Efficient Automated Deep Reinforcement Learning., , , and . ICLR, OpenReview.net, (2021)DACBench: A Benchmark Library for Dynamic Algorithm Configuration., , , , , and . IJCAI, page 1668-1674. ijcai.org, (2021)TempoRL: Learning When to Act., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 914-924. PMLR, (2021)Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization., , , and . CoRR, (2024)