Active Learning of Bayesian Probabilistic Movement Primitives.
Thibaut KulakHakan GirginJean-Marc OdobezSylvain CalinonPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- active learning
- bayesian networks
- posterior probability
- probabilistic model
- data driven
- high level
- decision theory
- random sampling
- learning strategies
- semi supervised
- generative model
- machine learning
- training examples
- experimental design
- bayesian inference
- supervised learning
- low level
- transfer learning
- belief networks
- gaussian processes
- learning process
- probabilistic logic
- prior probabilities
- generalized em algorithm
- building blocks
- unlabeled data
- maximum likelihood
- maximum entropy
- image sequences
- probability theory
- trajectory data