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Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis.

, , , , , , and . CoRR, (2018)

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Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients, , , , , and . International Conference on Learning Representations, (2021)Deep symbolic regression: Recovering mathematical expressions from data via policy gradients.. CoRR, (2019)Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients., , , , , and . ICLR, OpenReview.net, (2021)Single Episode Policy Transfer in Reinforcement Learning., , , and . ICLR, OpenReview.net, (2020)An Interactive Visualization Platform for Deep Symbolic Regression., , and . IJCAI, page 5261-5263. ijcai.org, (2020)Demo.Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning., , , and . CoRR, (2019)Developing a vision for executing scientifically useful virtual biomedical experiments., and . SpringSim (ADS), page 8. SCS/ACM, (2016)Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding., , , , , and . NeurIPS, page 24912-24923. (2021)Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement., , , , , , , and . AAMAS, page 14-22. ACM, (2023)Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis., , , , , , and . CoRR, (2018)