Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization.
Khurshed AliChih-Yu WangYi-Shin ChenPublished in: Knowl. Inf. Syst. (2022)
Keyphrases
- transfer learning
- reinforcement learning
- influence maximization
- greedy algorithm
- social networks
- viral marketing
- cross domain learning
- diffusion model
- learning tasks
- online social networks
- knowledge transfer
- cross domain
- machine learning
- active learning
- domain adaptation
- state space
- text categorization
- transferring knowledge
- target domain
- learning algorithm
- machine learning algorithms
- labeled data
- dynamic programming
- multi task
- semi supervised learning
- text classification
- collaborative filtering
- reinforcement learning algorithms
- transfer knowledge
- learning process
- solve complex tasks
- learning problems
- text mining