State-Space Abstractions for Probabilistic Inference: A Systematic Review.
Stefan LüdtkeMax SchröderFrank KrügerSebastian BaderThomas KirstePublished in: CoRR (2018)
Keyphrases
- probabilistic inference
- systematic review
- state space
- empirical studies
- graphical models
- heuristic search
- bayesian networks
- dynamic programming
- probabilistic reasoning
- reinforcement learning
- approximate inference
- conditional probabilities
- efficient inference
- influence diagrams
- message passing
- weighted model counting
- belief networks
- state variables
- variable elimination
- context specific independence
- particle filter
- bayesian belief networks
- optimal policy
- admissible heuristics
- bucket elimination
- search space
- exact inference
- data sets
- belief state
- junction tree
- probabilistic model
- neural network model
- basis functions
- feature vectors
- decision trees
- feature selection
- neural network