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.