Inverse Rubric Optimization: A testbed for agent science
https://fulcrum.inc/2026/06/09/inverse-rubric-optimization.html
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Inverse Rubric Optimization: A testbed for agent science
We propose inverse rubric optimization (IRO): tasks where an agent must learn the preferences of a black-box judge under a label budget. IRO tasks induce rich agent behavior and smooth scaling, making them a useful testbed for agent science.








