Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning.
Tianlun HuQi LiaoQiang LiuGeorg CarlePublished in: CoRR (2023)
Keyphrases
- transfer learning
- reinforcement learning
- multi agent
- learning tasks
- knowledge transfer
- reinforcement learning agents
- cross domain
- learning algorithm
- state space
- machine learning
- transferring knowledge
- labeled data
- active learning
- collaborative filtering
- multi task
- domain adaptation
- neural network
- optimal policy
- machine learning algorithms
- text categorization
- multi agent environments
- feature space
- transfer knowledge
- inter cell
- reinforcement learning algorithms
- reward function
- learning problems
- dynamic programming
- multi agent systems
- natural language
- data mining