Suchergebnisse - "Learning-augmented algorithms"
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CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 14.08.2024Veröffentlicht in arXiv.org (14.08.2024)“… }\)), in which an online player completes a workload (e.g., a batch compute job) by moving and scheduling the workload across a network subject to a deadline …”
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Online Covering with Multiple Experts
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 22.12.2023Veröffentlicht in arXiv.org (22.12.2023)“… (scheduling, caching, clustering, ski rental, etc.). While most previous learning-augmented algorithm approaches focus on integrating the predictions of a single oracle, we study the design of online algorithms with \emph{multiple} experts …”
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