Active Inference with People: a general approach to real-time adaptive experiments
This paper introduces a practical and unified approach to real-time adaptive experiments that can encompass these scenarios across textual, visual, and audio tasks and describes an adaptive treatment assignment strategy that identifies the optimal treatment up to three times as accurately as a fixed design.