hybrid-feedback

This paper introduces a hybrid Track-and-Stop algorithm for best arm identification in generalized linear bandits that unifies absolute and relative feedback. The authors propose a likelihood-ratio-based confidence sequence to adaptively allocate queries, demonstrating improved sample efficiency over baseline methods.