Deep reinforcement learning for the control of microbial co-cultures in bioreactors
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DOI: 10.1371/journal.pcbi.1007783
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- Hua Zheng & Wei Xie & Ilya O. Ryzhov & Dongming Xie, 2023. "Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 66-82, January.
- Ajaykumar Unagar & Yuan Tian & Manuel Arias Chao & Olga Fink, 2021. "Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning," Energies, MDPI, vol. 14(5), pages 1-12, March.
- Yasa Baig & Helena R. Ma & Helen Xu & Lingchong You, 2023. "Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
- Héctor Rodríguez-Rángel & Dulce María Arias & Luis Alberto Morales-Rosales & Victor Gonzalez-Huitron & Mario Valenzuela Partida & Joan García, 2022. "Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems," Energies, MDPI, vol. 15(7), pages 1-18, March.
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