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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)Algorithm runtime prediction: Methods & evaluation, , , and . Artificial Intelligence, (2014)On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning., , , , , and . CoRR, (2022)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)PriorBand: HyperBand + Human Expert Knowledge, , , , , , , and . Workshop on Meta-Learning (MetaLearn 2022), (2022)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities., , , , , , , , , and 43 other author(s). Artif. Life, 26 (2): 274-306 (2020)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, , , , , , , , , and 42 other author(s). (2018)cite arxiv:1803.03453.Deep learning with convolutional neural networks for decoding and visualization of EEG pathology., , , , and . CoRR, (2017)Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors., , , and . SAT, volume 7317 of Lecture Notes in Computer Science, page 228-241. Springer, (2012)SGDR: Stochastic Gradient Descent with Warm Restarts., and . ICLR (Poster), OpenReview.net, (2017)