Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access.
Hao-Hsuan ChangYifei SongThinh T. DoanLingjia LiuPublished in: IEEE Trans. Wirel. Commun. (2023)
Keyphrases
- reinforcement learning
- multi agent
- model free
- multi agent systems
- cooperative
- learning algorithm
- learning agents
- learning classifier systems
- coalition formation
- function approximation
- dynamic environments
- access control
- distributed systems
- state space
- digital libraries
- optimal policy
- markov decision processes
- learning problems
- learning process
- multiple agents
- multimedia
- database
- multi agent reinforcement learning