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Learning Heuristic Selection with Dynamic Algorithm Configuration

, , , , and . Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, (June 2020)

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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)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization., , , , , , , , and . J. Mach. Learn. Res., (2022)Squirrel: A Switching Hyperparameter Optimizer, , , , , , , , , and 2 other author(s). arxiv, (December 2020)Self-Paced Context Evaluation for Contextual Reinforcement Learning., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2948-2958. PMLR, (2021)Gray-Box Gaussian Processes for Automated Reinforcement Learning., , , and . ICLR, OpenReview.net, (2023)Learning Heuristic Selection with Dynamic Algorithm Configuration., , , , and . ICAPS, page 597-605. AAAI Press, (2021)Automated Reinforcement Learning (AutoRL): A Survey and Open Problems., , , , , , , , , and 2 other author(s). CoRR, (2022)Hierarchical Transformers are Efficient Meta-Reinforcement Learners., , and . CoRR, (2024)Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters., , , , and . CoRR, (2019)