State-Space Abstractions for Probabilistic Inference: A Systematic Review.
Stefan LüdtkeMax SchröderFrank KrügerSebastian BaderThomas KirstePublished in: J. Artif. Intell. Res. (2018)
Keyphrases
- probabilistic inference
- systematic review
- state space
- empirical studies
- graphical models
- bayesian networks
- dynamic programming
- approximate inference
- heuristic search
- probabilistic reasoning
- belief networks
- conditional probabilities
- message passing
- optimal policy
- efficient inference
- reinforcement learning
- context specific independence
- weighted model counting
- influence diagrams
- variable elimination
- search space
- state variables
- bayesian belief networks
- particle filter
- elimination algorithm
- belief state
- basis functions
- exact inference
- bucket elimination
- machine learning
- admissible heuristics
- description logics
- pairwise
- decision trees