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Symbolic Regression Methods for Reinforcement Learning
Reinforcement learning algorithms can solve dynamic decision-making and optimal control problems.
Learning Linear Feature Space Transformations in Symbolic Regression
We propose a new type of leaf node for use in Symbolic Regression (SR) that performs linear combinations of feature variables (LCF).
Symbolic Regression Algorithms with Built-in Linear Regression
Recently, several algorithms for symbolic regression (SR) emerged which employ a form of multiple linear regression (LR) to produce generalized linear models.
Model Selection and Overfitting in Genetic Programming: Empirical Study [Extended Version]
Genetic Programming has been very successful in solving a large area of problems but its use as a machine learning algorithm has been limited so far.
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