Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models.
Lorenzo GentiliniMichelangelo BinLorenzo MarconiPublished in: CoRR (2022)
Keyphrases
- gaussian processes
- data driven
- covariance function
- gaussian process
- human pose estimation
- bayesian approaches
- bayesian methods
- gaussian process regression
- machine learning
- multitask learning
- gaussian process models
- preference learning
- prior knowledge
- semi supervised
- multi task learning
- support vector machine
- probabilistic model
- reinforcement learning