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cs.LG2025
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
Xiaoyi Wu, Bin Li
The combinatorial multi-armed bandit model is designed to maximize cumulative rewards in the presence of uncertainty by activating a subset of arms in each round. This paper is ins…
cs.LG2025
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
Xiaoyi Wu, Bo Ji, Bin Li
Combinatorial Multi-Armed Bandit with fairness constraints is a framework where multiple arms form a super arm and can be pulled in each round under uncertainty to maximize cumulat…