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In vivo learning-based control of microbial populations density in bioreactors
Our work showcases the viability of learning-based strategies for the control of cellular density in bioreactors, making a step forward toward their use for the control of the composition of microbial consortia.
External control of a genetic toggle switch via Reinforcement Learning
We investigate the problem of using a learning-based strategy to stabilize a synthetic toggle switch via an external control approach.
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