Policy optimization by marginal-map probabilistic inference in generative models.
Igor KiselevPascal PoupartPublished in: AAMAS (2014)
Keyphrases
- probabilistic inference
- generative model
- graphical models
- probabilistic model
- bayesian networks
- conditional probabilities
- discriminative models
- discriminative learning
- approximate inference
- message passing
- conditional random fields
- belief networks
- em algorithm
- prior knowledge
- hidden variables
- probability distribution
- probabilistic graphical models
- random variables
- parameter learning
- naive bayes models
- data sets
- belief propagation
- topic models
- exact inference
- semi supervised
- maximum likelihood
- small number
- probabilistic databases
- maximum entropy principle
- artificial neural networks