Multi-agent Gaussian Process Motion Planning via Probabilistic Inference.
Luka PetrovicIvan MarkovicMarija SederPublished in: CoRR (2018)
Keyphrases
- motion planning
- probabilistic inference
- gaussian process
- gaussian processes
- approximate inference
- degrees of freedom
- graphical models
- mobile robot
- humanoid robot
- path planning
- regression model
- bayesian framework
- bayesian networks
- conditional probabilities
- latent variables
- message passing
- model selection
- hyperparameters
- semi supervised
- exact inference
- belief networks
- reinforcement learning
- marginal likelihood
- data sets
- multi robot
- distributed systems
- probabilistic model
- support vector
- machine learning