AI RESEARCH
Constrained Bayesian Experimental Design via Online Planning
arXiv CS.LG
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ArXi:2605.26990v1 Announce Type: cross Bayesian experimental design (BED) is a principled framework for data-efficient design of sequential experiments. However, existing BED methods are unable to adapt to dynamic constraints inherent in real-world tasks due to budget limitations, varying costs, or physical constraints that restrict how designs evolve over time. In this paper, we