Variational Inference for Data-Efficient Model Learning in POMDPs.

Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann

Published in: CoRR (2018)

Keyphrases

prior knowledge
reinforcement learning
variational inference
data analysis
probabilistic model
probability distribution
data points
hidden variables
prior information
missing values
supervised learning
learning algorithm
statistical model
bayesian inference
unsupervised learning
active learning
training data