Optimal control as a graphical model inference problem.
Hilbert J. KappenVicenç GómezManfred OpperPublished in: Mach. Learn. (2012)
Keyphrases
- optimal control
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- factor graphs
- belief propagation
- bayesian networks
- efficient inference algorithms
- undirected graphical models
- nonparametric belief propagation
- approximate inference
- dynamic programming
- random variables
- loopy belief propagation
- probabilistic model
- probabilistic graphical models
- statistical inference
- structure learning
- directed graphical models
- markov networks
- conditional independence
- reinforcement learning
- optimal control problems
- graphical structure
- control strategy
- conditional random fields
- relational dependency networks
- probabilistic networks
- bayesian inference
- dynamic bayesian networks
- gaussian graphical models
- random fields
- message passing
- real time
- structured prediction
- parameter estimation
- pairwise