On-line regression algorithms for learning mechanical models of robots: A survey.
Olivier SigaudCamille SalaünVincent PadoisPublished in: Robotics Auton. Syst. (2011)
Keyphrases
- learning algorithm
- learning models
- locally weighted
- prior knowledge
- learned models
- model selection
- learning systems
- classification and regression problems
- model averaging
- learning process
- active learning
- accurate models
- optimization problems
- robot control
- learning rules
- noise tolerant
- regression methods
- linear regression
- data structure
- computational complexity
- machine learning algorithms
- neural network
- semi supervised
- online learning
- kernel ridge regression
- reinforcement learning
- gradient boosting
- learning paradigms
- regression algorithm
- supervised learning
- loss function
- human robot interaction
- regression model
- linear models
- bayesian methods
- mathematical models
- learning tasks