Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks.
Maximilian DiehlKarinne Ramirez-AmaroPublished in: IEEE Robotics Autom. Lett. (2024)
Keyphrases
- parameter estimation
- robotic tasks
- maximum likelihood
- motion planning
- causal bayesian networks
- robotic systems
- dynamic environments
- model selection
- least squares
- approximate inference
- markov random field
- em algorithm
- planning under uncertainty
- parameter estimation algorithm
- posterior distribution
- expectation maximization
- prior knowledge
- maximum a posteriori
- bayesian framework
- structure learning
- observational data
- causal structure
- path planning
- active learning
- image processing
- knowledge base
- feature selection
- computer vision
- learning algorithm