AI RESEARCH
Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
arXiv CS.LG
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ArXi:2605.06552v1 Announce Type: new The design of biological systems is hindered by uncertainty arising from both intrinsic stochasticity of biomolecular reactions and variability across laboratory or experimental conditions. In this work, we present a sequential framework to optimize genetic circuits under both forms of uncertainty.