Goal-Based Imitation as Probabilistic Inference over Graphical Models.
Deepak VermaRajesh P. N. RaoPublished in: NIPS (2005)
Keyphrases
- graphical models
- probabilistic inference
- belief propagation
- approximate inference
- probabilistic model
- random variables
- influence diagrams
- belief networks
- probabilistic graphical models
- structure learning
- exact inference
- bayesian networks
- bayesian belief networks
- markov networks
- conditional independence
- probabilistic reasoning
- factor graphs
- conditional random fields
- reinforcement learning
- graph structure
- latent variables
- multi view
- distributed systems
- knowledge representation
- probability distribution
- loopy belief propagation
- pairwise
- structural learning