Optimizing Sequential Experimental Design with Deep Reinforcement Learning.

Tom Blau Edwin V. Bonilla Amir Dezfouli Iadine Chades

Published in: CoRR (2022)

Keyphrases

experimental design
reinforcement learning
active learning
empirical studies
experimental designs
sample size
machine learning
class imbalance
learning algorithm
feature selection
learning environment
upper bound
semi supervised
transfer learning