Component Transfer Learning for Deep RL Based on Abstract Representations.
Geoffrey van DriesselVincent François-LavetPublished in: CoRR (2021)
Keyphrases
- transfer learning
- reinforcement learning
- learning tasks
- knowledge transfer
- labeled data
- machine learning
- semi supervised learning
- active learning
- multi task
- learning algorithm
- manifold alignment
- transfer knowledge
- cross domain
- text classification
- collaborative filtering
- text categorization
- domain adaptation
- multi task learning
- previously learned
- transferring knowledge
- machine learning algorithms
- learning problems
- function approximation
- target domain
- unlabeled data
- learning process
- high dimensional
- training data