Research map / Probabilistic and scientific modeling / Molecules and proteins
Reinforcement Symbolic Regression Machine
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Proposes the Reinforcement Symbolic Regression Machine, a reinforcement-learning-based framework for symbolic regression aimed at breaking bottlenecks on complex expressions (abstract only available).
Problem
Symbolic regression: automatically distilling parsimonious math equations from limited data; current methods struggle when target expressions are complex.
Approach
Applies reinforcement learning to symbolic regression to overcome bottlenecks that existing SR methods hit on complex expressions; specific mechanism not stated in the available abstract.
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