Boosting Reinforcement Learning in Competitive Influence Maximization with Transfer Learning.
Khurshed AliChih-Yu WangYi-Shin ChenPublished in: WI (2018)
Keyphrases
- transfer learning
- reinforcement learning
- influence maximization
- greedy algorithm
- social networks
- learning algorithm
- viral marketing
- diffusion model
- learning tasks
- knowledge transfer
- machine learning
- online social networks
- semi supervised learning
- active learning
- domain adaptation
- cross domain
- multi task
- feature selection
- transferring knowledge
- text categorization
- labeled data
- dynamic programming
- state space
- collaborative filtering
- transfer knowledge
- training data
- text classification
- unsupervised learning
- machine learning algorithms
- text mining
- information flow
- upper bound
- information diffusion
- reinforcement learning methods
- learning process
- social interaction