Shanglin Wu

Learning to Assign Prediction Tasks to Agents with Capacity Constraints

This work provides a general theoretical characterization of the problem of learning to assign prediction tasks to one agent from a set of available agents, including human decision-makers and AI models and develops a framework of sequential explore-exploit policy-learning algorithms that seek to maximize overall perfo...