Web: http://arxiv.org/abs/2201.03116

Jan. 27, 2022, 2:11 a.m. | Hua Zheng, Wei Xie, Keqi Wang, Zheng Li

cs.LG updates on arXiv.org arxiv.org

Driven by the key challenges of cell therapy manufacturing, including high
complexity, high uncertainty, and very limited process observations, we propose
a hybrid model-based reinforcement learning (RL) to efficiently guide process
control. We first create a probabilistic knowledge graph (KG) hybrid model
characterizing the risk- and science-based understanding of biomanufacturing
process mechanisms and quantifying inherent stochasticity, e.g., batch-to-batch
variation. It can capture the key features, including nonlinear reactions,
nonstationary dynamics, and partially observed state. This hybrid model can
leverage existing …

arxiv cell therapy hybrid learning manufacturing model process reinforcement learning

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