Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits
arXiv:2604.14961v1 Announce Type: new
Abstract: Contextual bandit algorithms suffer from high regret during cold-start, when the learner has insufficient data to distinguish good arms from bad. We propose augmenting Disjoint LinUCB with LLM pseudo-obs…