Introduces OAG model and DTB compiler for learning-augmented online algorithms, achieving strong consistency-robustness trade-offs on bipartite matching, caching, and metrical task systems.
Learning-augmented algorithms with explicit predictors
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Online Algorithms with Unreliable Guidance
Introduces OAG model and DTB compiler for learning-augmented online algorithms, achieving strong consistency-robustness trade-offs on bipartite matching, caching, and metrical task systems.