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Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making

Symbolic regression holds great potential for uncovering underlying mathematical and physical relationships from empirical data. The authors introduce Symbolic Q-network (Sym-Q), a novel reinforcement learning-based model that redefines symbolic regression as a sequential decision-making task.

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Cite this as

Yuan Tian, Wenqi Zhou, Hao Dong, David S. Kammer, Olga Fink (2024). Dataset: Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making. https://doi.org/10.57702/q7jpuwf6

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2402.05306
Author Yuan Tian
More Authors
Wenqi Zhou
Hao Dong
David S. Kammer
Olga Fink