A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference.
Igor KiselevPascal PoupartPublished in: AAAI (2014)
Keyphrases
- decision problems
- generative model
- probabilistic inference
- approximate inference
- graphical models
- optimal policy
- probabilistic model
- belief networks
- exact inference
- conditional probabilities
- weighted model counting
- bayesian networks
- message passing
- reinforcement learning
- prior knowledge
- bayesian framework
- semi supervised
- random variables
- em algorithm
- belief propagation
- probabilistic graphical models
- conditional random fields
- structured prediction
- markov chain monte carlo
- hidden variables
- variational methods
- maximum entropy principle
- reward function
- latent dirichlet allocation
- higher order
- distributed systems
- feature selection