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Improving exploration in policy gradient search: Application to symbolic optimization., , , , , , , and . CoRR, (2021)Distilling Wikipedia mathematical knowledge into neural network models., , and . CoRR, (2021)Incorporating domain knowledge into neural-guided search., , and . CoRR, (2021)Discovering symbolic policies with deep reinforcement learning., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5979-5989. PMLR, (2021)A Unified Framework for Deep Symbolic Regression., , , , , , , , and . NeurIPS, (2022)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 . ICLR, OpenReview.net, (2021)Fully decoupled time-marching schemes for incompressible fluid/thin-walled structure interaction., , and . J. Comput. Phys., (2015)Intracardiac Electrical Imaging Using the 12-Lead ECG: A Machine Learning Approach Using Synthetic Data., , , and . CinC, page 1-4. IEEE, (2022)Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding., , , , , and . NeurIPS, page 24912-24923. (2021)