CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning.

Andreas Sauter Nicolò Botteghi Erman Acar Aske Plaat

Published in: AAMAS (2024)

Keyphrases

reinforcement learning
causal discovery
causal models
machine learning
highly scalable
function approximation
causal structure
database
discovery process
causal relationships
markov decision processes
random variables
regression model
dynamic programming
data analysis
learning algorithm
information retrieval