Entropy Regularized Motion Planning via Stein Variational Inference.
Alexander LambertByron BootsPublished in: CoRR (2021)
Keyphrases
- motion planning
- variational inference
- bayesian inference
- posterior distribution
- degrees of freedom
- gaussian process
- probabilistic graphical models
- probabilistic model
- topic models
- latent dirichlet allocation
- mixture model
- path planning
- closed form
- mobile robot
- variational methods
- exact inference
- exponential family
- least squares
- graphical models
- approximate inference
- information theoretic
- multi robot
- humanoid robot
- parameter estimation
- hyperparameters
- factor graphs
- probability distribution
- three dimensional
- gaussian mixture model
- co occurrence
- expectation maximization
- image segmentation
- regression model