Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions.
Lars BuesingNicolas HeessTheophane WeberPublished in: CoRR (2019)
Keyphrases
- approximate inference
- monte carlo tree search
- graphical models
- exact inference
- discrete variables
- belief propagation
- probabilistic inference
- monte carlo
- linear gaussian
- parameter estimation
- message passing
- bayesian networks
- random variables
- gaussian process
- latent variables
- evaluation function
- dynamic bayesian networks
- probability distribution
- conditional random fields
- probabilistic model
- stereo matching
- game tree
- markov random field
- random sampling
- continuous variables
- reinforcement learning methods