2021
DOI: 10.48550/arxiv.2111.14778
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Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes

Abstract: In many real-world applications of combinatorial bandits such as content caching, rewards must be maximized while satisfying minimum service requirements. In addition, base arm availabilities vary over time, and actions need to be adapted to the situation to maximize the rewards. We propose a new bandit model called Contextual Combinatorial Volatile Bandits with Group Thresholds to address these challenges. Our model subsumes combinatorial bandits by considering super arms to be subsets of groups of base arms.… Show more

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