Symbolic Regression
A class of machine learning methods that automatically discover explicit mathematical expressions from data; typical tools include genetic programming and sparse regression, and the output is an interpretable analytical formula.
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Symbolic regression is a class of methods that automatically discover mathematical expressions from data, with typical tools including genetic programming and sparse regression (such as SINDy).
The idea of combining RL with symbolic regression is: first use RL to search for high-reward shapes or policies, then use symbolic regression to reverse-engineer possible analytical relationships from the numerical trajectories, thereby turning "numerical discovery" into the starting point for a "mathematical conjecture".
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Symbolic regression is a class of methods that automatically discover mathematical expressions from data, with typical tools including genetic programming and sparse regression (such as SINDy).
50%UnverifiedThe idea of combining RL with symbolic regression is: first use RL to search for high-reward shapes or policies, then use symbolic regression to reverse-engineer possible analytical relationships from the numerical trajectories, thereby turning "numerical discovery" into the starting point for a "mathematical conjecture".
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