Active learning in regression, with application to stochastic dynamic programming.

Olivier Teytaud Sylvain Gelly Jérémie Mary

Published in: ICINCO-ICSO (2007)

Keyphrases

active learning
stochastic dynamic programming
experimental design
machine learning
learning algorithm
cost function
probability distribution
approximate dynamic programming