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Deep symbolic regression: Recovering mathematical expressions from data via policy gradients.. CoRR, (2019)Symbolic Regression via Neural-Guided Genetic Programming Population Seeding., , , , , and . CoRR, (2021)Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients, , , , , and . International Conference on Learning Representations, (2021)Toward modular biological models: defining analog modules based on referent physiological mechanisms., , and . BMC Syst. Biol., (2014)Single Episode Policy Transfer in Reinforcement Learning., , , and . ICLR, OpenReview.net, (2020)Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients., , , , , and . ICLR, OpenReview.net, (2021)Improving exploration in policy gradient search: Application to symbolic optimization., , , , , , , and . CoRR, (2021)Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement., , , , , , , and . CoRR, (2022)Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models., , , , , and . J. Biomed. Informatics, (2018)Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine., , , , , , and . J. Comput. Biol., 26 (6): 597-604 (2019)