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arXiv · 2510.17022

Curiosity-driven RL for symbolic equation solving

Kevin P. O'Keeffe
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Abstract

We explore if RL can be useful for symbolic mathematics. Previous work showed contrastive learning can solve linear equations in one variable. We show model-free PPO \cite{schulman2017proximal} augmented with curiosity-based exploration and graph-based actions can solve nonlinear equations such as those involving radicals, exponentials, and trig functions. Our work suggests curiosity-based exploration may be useful for general symbolic reasoning tasks.

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Kevin P. O'Keeffe. 2025-10-19. Curiosity-driven RL for symbolic equation solving. https://arxiv.org/abs/2510.17022

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