Learning to Make Predictions In Partially Observable Environments Without a Generative Model.

Erik Talvitie Satinder P. Singh

Published in: CoRR (2014)

Keyphrases

generative model
learned models
partially observable environments
discriminative learning
prior knowledge
probabilistic model
hidden variables
learning process
supervised learning
hierarchical bayesian model
dirichlet process mixture models
image segmentation
reinforcement learning
conditional random fields