Neural Network-Based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach.
Juan ZhangYulei WuGeyong MinKeqin LiPublished in: IEEE Trans. Intell. Transp. Syst. (2024)
Keyphrases
- game theory
- transfer learning
- game theoretic
- knowledge transfer
- learning tasks
- nash equilibrium
- labeled data
- cross domain
- machine learning
- cooperative
- neural network
- multi agent systems
- text classification
- text categorization
- reinforcement learning
- structure learning
- statistical physics
- collaborative filtering
- semi supervised learning
- multi agent learning
- active learning
- transfer knowledge
- domain adaptation
- nash equilibria
- solution concepts
- resource allocation
- text mining
- fictitious play
- multi task
- learning algorithm
- decision theory
- data mining
- data sets
- information retrieval
- information theory
- prior knowledge
- unlabeled data
- reinforcement learning agents