REPAINT: Knowledge Transfer in Deep Reinforcement Learning.
Yunzhe TaoSahika GencJonathan ChungTao SunSunil MallyaPublished in: ICML (2021)
Keyphrases
- knowledge transfer
- reinforcement learning
- transfer learning
- transferring knowledge
- knowledge sharing
- cross domain
- knowledge construction
- learning tasks
- previously learned
- reinforcement learning algorithms
- model free
- tacit knowledge
- supervised learning
- machine learning
- active learning
- mutual adaptation
- databases
- neural network
- transfer knowledge
- labeled data
- unsupervised learning
- software engineering
- class labels
- software development
- markov random field
- support vector machine
- natural language
- learning environment
- decision trees
- information systems
- learning algorithm
- data mining
- real world