Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning.
Xudong SunBernd BischlPublished in: CoRR (2019)
Keyphrases
- probabilistic graphical models
- variational inference
- reinforcement learning
- graphical models
- first order logic
- markov networks
- latent variables
- learning algorithm
- bayesian inference
- exact inference
- belief propagation
- probabilistic inference
- parameter learning
- random variables
- soft computing
- probabilistic model
- least squares
- conditional random fields
- fuzzy measures
- machine learning
- approximate inference
- posterior distribution
- state space
- knowledge representation
- transfer learning
- support vector
- maximum likelihood