3 datasets found

A classic algorithm for approximating Bayes risk in repeated play.

The dataset used in the paper is a graph-based multi-armed bandit problem with similarity graph information.

The Zero-Inflated Bandits problem is a variant of the multi-armed bandit problem where the reward is modeled as a zero-inflated distribution. The authors propose two algorithms,...