Optimizing Biomanufacturing Harvesting Decisions under Limited Historical Data

no code implementations • 11 Jan 2021 • Bo wang, Wei Xie, Tugce Martagan, Alp Akcay, Bram van Ravenstein

We adopt a Bayesian approach to update the unknown parameters of the growth-rate distributions, and use the resulting posterior distributions to characterize the impact of model risk on fermentation output variability.

Decision Making Model-based Reinforcement Learning