Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models.
Jung-Su HaHyeok-Joo ChaeHan-Lim ChoiPublished in: IEEE Robotics Autom. Lett. (2018)
Keyphrases
- latent variable models
- motion planning
- latent variables
- approximate inference
- learning algorithm
- low dimensional
- message passing
- graphical models
- high dimensional data
- learning problems
- latent space
- gaussian process
- structured prediction
- belief propagation
- probabilistic model
- exact inference
- probabilistic inference
- hidden markov models
- high dimensional
- machine learning
- hidden variables
- latent dirichlet allocation
- incremental learning
- supervised learning