Symbolic Regression for Constructing Analytic Models in Reinforcement Learning.

Erik Derner Jirí Kubalík Nicola Ancona Robert Babuska

Published in: CoRR (2019)

Keyphrases

reinforcement learning
symbolic regression
genetic programming
machine learning
probabilistic model
parameter estimation
learning algorithm
data points
machine learning algorithms
bayesian framework
gene expression programming