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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)Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients, , , , , and . International Conference on Learning Representations, (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.Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis., , , , , , and . CoRR, (2018)A Unified Framework for Deep Symbolic Regression., , , , , , , , and . NeurIPS, (2022)Discovering symbolic policies with deep reinforcement learning., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5979-5989. PMLR, (2021)Reinforcement Learning for Adaptive Mesh Refinement., , , , , , , , , and 2 other author(s). AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5997-6014. PMLR, (2023)Developing a vision for executing scientifically useful virtual biomedical experiments., and . SpringSim (ADS), page 8. SCS/ACM, (2016)