Transfer RL across Observation Feature Spaces via Model-Based Regularization.
Yanchao SunRuijie ZhengXiyao WangAndrew CohenFurong HuangPublished in: CoRR (2022)
Keyphrases
- feature space
- model free
- reinforcement learning
- transfer learning
- training set
- reinforcement learning algorithms
- high dimensional
- image representation
- learning tasks
- function approximation
- feature vectors
- image retrieval
- markov decision processes
- knowledge transfer
- dimensionality reduction
- state space
- image processing
- nearest neighbor search
- mercer kernels
- cross domain
- regularization parameter
- image classification
- regularization term
- training samples
- multi view
- data sets
- data points
- objective function
- knowledge base
- feature selection
- learning algorithm
- machine learning