External control of a genetic toggle switch via Reinforcement Learning

Autor:	Brancato, Sara Maria, De Lellis, Francesco, Salzano, Davide, Russo, Giovanni, di Bernardo, Mario
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Systems and Control Computer Science - Machine Learning Quantitative Biology - Molecular Networks Quantitative Biology - Quantitative Methods
Druh dokumentu:	Working Paper
Popis:	We investigate the problem of using a learning-based strategy to stabilize a synthetic toggle switch via an external control approach. To overcome the data efficiency problem that would render the algorithm unfeasible for practical use in synthetic biology, we adopt a sim-to-real paradigm where the policy is learnt via training on a simplified model of the toggle switch and it is then subsequently exploited to control a more realistic model of the switch parameterized from in-vivo experiments. Our in-silico experiments confirm the viability of the approach suggesting its potential use for in-vivo control implementations.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2204.04972 Zobrazit plný text záznamu View this record from Arxiv