Aurelien-Pelissier / Feature-Selection-as-Reinforcement-Learning

Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature subset on various training set.
19Updated 3 years ago

Alternatives and similar repositories for Feature-Selection-as-Reinforcement-Learning:

Users that are interested in Feature-Selection-as-Reinforcement-Learning are comparing it to the libraries listed below