AINeutralarXiv – CS AI · 3h ago5/10
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Learning to Assign Prediction Tasks to Agents with Capacity Constraints
Researchers propose a machine learning framework for optimally assigning prediction tasks to heterogeneous agents (humans or AI systems) subject to capacity constraints. The work develops explore-exploit algorithms that learn agent expertise and adapt assignments dynamically, demonstrating improvements over baseline approaches across tabular, image, and text tasks.