Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation.
Qianyu LiuChiew Foong KwongSijia ZhouTianhao YeLincan LiSaeid Pourroostaei ArdakaniPublished in: IEEE Access (2021)
Keyphrases
- function approximation
- tile coding
- mobility management
- reinforcement learning
- temporal difference
- hyperplane
- model free
- radial basis function
- function approximators
- state space
- learning tasks
- reinforcement learning algorithms
- multi agent
- transfer learning
- generalization capabilities
- control policy
- data sets
- multiple agents
- markov decision processes
- supervised learning