AI RESEARCH
Mind the Sim-to-Real Gap & Think Like a Scientist
arXiv CS.LG
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ArXi:2605.21458v1 Announce Type: cross Suppose a planner has a pre-trained simulator of a sequential decision problem and the option to run real experiments in the field. The simulator is cheap to query but inherits confounding and drift from its calibration data. Experimentation is unbiased but consumes one real unit per trial. We study when, and how, the planner should supplement the simulator with experiments. We give three results.