Deep Reinforcement Learning for Age and Energy Tradeoff in Internet of Things Networks.
Mengen LiYing WangQiuyang ZhangPublished in: ICCC (2022)
Keyphrases
- reinforcement learning
- function approximation
- social networks
- heterogeneous networks
- model free
- energy consumption
- ubiquitous computing
- metadata
- future internet
- energy saving
- key technologies
- energy minimization
- trade off
- computer networks
- complex networks
- network structure
- transfer learning
- supervised learning
- mobile computing
- learning process
- network design
- physical world
- computational complexity
- reinforcement learning algorithms
- low energy
- multi agent systems
- age related
- robotic control