Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning.
Tianlun HuQi LiaoQiang LiuGeorg CarlePublished in: CoRR (2023)
Keyphrases
- transfer learning
- reinforcement learning
- learning tasks
- knowledge transfer
- labeled data
- domain adaptation
- machine learning
- transferring knowledge
- cross domain
- active learning
- multi task
- function approximation
- text classification
- transfer knowledge
- manifold alignment
- network structure
- learning algorithm
- text categorization
- collaborative filtering
- structure learning
- previously learned
- multi task learning
- target domain
- state space
- machine learning algorithms
- prior knowledge
- solve complex tasks
- support vector machine
- text mining
- semi supervised learning
- probabilistic model
- unlabeled data
- model free
- markov decision processes
- pairwise
- reinforcement learning agents
- cooperative