Computing rank dependent utility in graphical models for sequential decision problems.
Gildas JeantetOlivier SpanjaardPublished in: Artif. Intell. (2011)
Keyphrases
- graphical models
- sequential decision problems
- influence diagrams
- probabilistic inference
- probabilistic model
- belief propagation
- reinforcement learning
- random variables
- probabilistic graphical models
- approximate inference
- structure learning
- marginal probabilities
- active exploration
- bayesian networks
- markov networks
- map inference
- conditional random fields
- belief networks
- factor graphs
- conditional independence
- loopy belief propagation
- bayesian inference
- relational data
- possibilistic networks
- chain graphs
- utility function
- semi supervised