Model-based Policy Optimization under Approximate Bayesian Inference.
Chaoqi WangYuxin ChenKevin MurphyPublished in: AISTATS (2024)
Keyphrases
- bayesian inference
- expectation propagation
- prior information
- probabilistic model
- hyperparameters
- statistical inference
- bayesian model
- variational inference
- gibbs sampler
- variational bayes
- hierarchical bayesian
- particle filter
- probabilistic modeling
- markov networks
- bayesian models
- pairwise
- weighted model counting
- prior distribution
- hidden variables
- gaussian process
- posterior distribution
- energy function
- least squares
- dynamic programming