Graph Laplacian based transfer learning in reinforcement learning.
Yi-Ting TsaoKe-Ting XiaoVon-Wun SooPublished in: AAMAS (3) (2008)
Keyphrases
- transfer learning
- graph laplacian
- reinforcement learning
- semi supervised learning
- label information
- random walk
- spectral clustering
- learning tasks
- labeled and unlabeled data
- labeled data
- spectral analysis
- euclidean space
- knowledge transfer
- kernel machines
- weighted graph
- cross domain
- basis functions
- domain adaptation
- machine learning
- manifold structure
- active learning
- unlabeled data
- semi supervised
- multi task
- text classification
- learning algorithm
- multi task learning
- latent space
- target domain
- learning problems
- supervised learning
- text mining
- unsupervised learning
- nearest neighbor
- text categorization
- collaborative filtering
- data sets
- manifold learning