Generative Adversarial Network-Based Transfer Reinforcement Learning for Routing With Prior Knowledge.
Tianjian DongQi QiJingyu WangAlex X. LiuHaifeng SunZirui ZhuangJianxin LiaoPublished in: IEEE Trans. Netw. Serv. Manag. (2021)
Keyphrases
- prior knowledge
- reinforcement learning
- generative model
- transfer learning
- multi agent
- knowledge transfer
- bayesian framework
- function approximation
- network topology
- state space
- reinforcement learning algorithms
- temporal difference
- unsupervised learning
- domain knowledge
- machine learning
- routing problem
- robotic control
- learning algorithm
- previously learned
- routing algorithm
- ad hoc networks
- model free
- learning tasks
- temporal difference learning
- labeled data
- data driven
- travel distance
- training data
- discriminative learning
- wireless ad hoc networks
- data mining
- incorporation of prior knowledge
- latent variables
- routing protocol
- optimal policy
- probabilistic model
- cross domain
- prior information
- real robot
- learning problems
- wireless networks
- policy search
- discriminative methods
- learning process
- neural network