Value Decomposition based Multi-Task Multi-Agent Deep Reinforcement Learning in Vehicular Networks.
Shilin XuCaili GuoRose Qingyang HuYi QianPublished in: GLOBECOM (2020)
Keyphrases
- multi task
- reinforcement learning
- multi agent
- vehicular networks
- transfer learning
- learning problems
- multi task learning
- learning tasks
- learning algorithm
- multiple tasks
- routing scheme
- multi class
- propagation model
- gaussian processes
- network coding
- sparse learning
- feature selection
- supervised learning
- machine learning
- information gain
- unsupervised learning
- machine learning algorithms
- multiresolution
- face recognition