Combinatorial Semi-Bandits with Knapsacks

May 23, 2017 ยท Declared Dead ยท ๐Ÿ› International Conference on Artificial Intelligence and Statistics

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Authors Karthik Abinav Sankararaman, Aleksandrs Slivkins arXiv ID 1705.08110 Category cs.LG: Machine Learning Citations 54 Venue International Conference on Artificial Intelligence and Statistics Last Checked 3 months ago
Abstract
We unify two prominent lines of work on multi-armed bandits: bandits with knapsacks (BwK) and combinatorial semi-bandits. The former concerns limited "resources" consumed by the algorithm, e.g., limited supply in dynamic pricing. The latter allows a huge number of actions but assumes combinatorial structure and additional feedback to make the problem tractable. We define a common generalization, support it with several motivating examples, and design an algorithm for it. Our regret bounds are comparable with those for BwK and combinatorial semi- bandits.
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