Bayesian Inference of Temporal Task Specifications from Demonstrations.
Ankit ShahPritish KamathJulie A. ShahShen LiPublished in: NeurIPS (2018)
Keyphrases
- bayesian inference
- prior information
- probabilistic model
- hyperparameters
- bayesian model
- temporal information
- variational inference
- statistical inference
- inference process
- hierarchical bayesian
- spatio temporal
- gibbs sampler
- variational bayes
- weighted model counting
- probabilistic modeling
- hidden variables
- machine learning
- bayesian models
- particle filter
- markov chain monte carlo
- bayesian networks