Multi-source Transfer Learning for Deep Reinforcement Learning.
Jesús García-RamírezEduardo F. MoralesHugo Jair EscalantePublished in: MCPR (2021)
Keyphrases
- transfer learning
- multi source
- reinforcement learning
- data fusion
- information fusion
- learning tasks
- knowledge transfer
- multiple sources
- data integration
- labeled data
- machine learning
- active learning
- collaborative filtering
- transferring knowledge
- databases
- cross domain
- target domain
- reinforcement learning algorithms
- text categorization
- data sources
- learning algorithm
- real world
- machine learning algorithms
- semi supervised learning
- data analysis
- transfer knowledge
- text classification
- supervised learning
- data mining
- neural network
- database