Transfer Learning for Operator Selection: A Reinforcement Learning Approach.
Rafet DurgutMehmet Emin AydinAbdur RakibPublished in: Algorithms (2022)
Keyphrases
- transfer learning
- reinforcement learning
- learning tasks
- learning algorithm
- knowledge transfer
- labeled data
- machine learning
- collaborative filtering
- semi supervised learning
- active learning
- manifold alignment
- cross domain
- transfer knowledge
- machine learning algorithms
- multi task
- function approximation
- domain adaptation
- multi task learning
- temporal difference
- markov decision processes
- reinforcement learning algorithms
- transferring knowledge
- information retrieval
- target domain
- text categorization
- unlabeled data
- text classification
- learning problems
- previously learned
- state space
- reinforcement learning agents
- solve complex tasks