Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks.
Esteban CattéMohamed SanaMickael MamanPublished in: PIMRC (2023)
Keyphrases
- reinforcement learning
- multi agent
- cooperative
- dynamic networks
- dynamic environments
- multi agent environments
- network analysis
- state space
- function approximation
- maximum a posteriori
- lightweight
- reinforcement learning agents
- heterogeneous agents
- data sets
- distributed systems
- dynamic programming
- multi agent systems
- social networks
- autonomous agents
- multiple agents
- network design
- temporal difference
- learning process
- machine learning