Building Decision Forest via Deep Reinforcement Learning.

Hongzhi Hua Guixuan Wen Kaigui Wu

Published in: IJCNN (2023)

Keyphrases

decision forest
reinforcement learning
function approximation
markov decision processes
oblique decision trees
random forests
dynamic programming
decision trees
active learning
data sets
supervised learning
genetic programming
feature space
learning problems
multi agent
feature extraction
machine learning