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GRPO-QM

model1 events
papersTODAY 04:00 UTC

GRPO-QM Uses Reinforcement Learning to Guide Quantum Tomography Without Distorting Posteriors

A new arXiv preprint presents GRPO-QM, a method that applies group-relative policy optimization to quantum tomography while leaving the target posterior distribution unchanged. Instead of letting reward-based learning reshape the inference target, the approach learns only an exploration policy that selects measurements. This separates the strategy for gathering data from the statistical estimate itself.

quantum/reinforcement-learning/arxiv/scientific-ml