Multi-agent deep reinforcement learning for end - edge orchestrated resource allocation in industrial wireless networks.
Xiaoyu LiuChi XuHaibin YuPeng ZengPublished in: Frontiers Inf. Technol. Electron. Eng. (2022)
Keyphrases
- wireless networks
- resource allocation
- reinforcement learning
- multi agent
- wireless communication
- resource management
- resource allocation problems
- optimal resource allocation
- multi agent systems
- cellular networks
- ad hoc networks
- base station
- cooperative
- packet scheduling
- learning agents
- multi hop
- resource allocation decisions
- reinforcement learning algorithms
- single agent
- intelligent agents
- allocation problems
- optimal policy
- learning algorithm
- combinatorial auctions
- multiagent systems
- cross layer
- state space
- multiple agents
- network coding
- wireless ad hoc networks
- multimedia services
- allocation strategies