Deep Probabilistic Movement Primitives with a Bayesian Aggregator.
Michael PrzystupaFaezeh HaghverdMartin JägersandSamuele TosattoPublished in: CoRR (2023)
Keyphrases
- bayesian networks
- posterior probability
- belief nets
- decision theory
- probabilistic model
- database
- data driven
- low level
- generative model
- maximum likelihood
- prior probabilities
- multiscale
- maximum entropy
- bayesian framework
- probability distribution
- bayesian methods
- rss feeds
- generalized em algorithm
- graphical models
- hidden markov models
- moving objects
- similarity measure
- decision trees
- decision making
- information systems
- machine learning
- real time