Multi-Agent Reinforcement Learning for Edge Resource Management with Reconstructed Environment.
Weiwei MiaoZeng ZengMingxuan ZhangSiping QuanZhen ZhangShihao LiLi ZhangQi SunPublished in: ISPA/BDCloud/SocialCom/SustainCom (2021)
Keyphrases
- resource management
- multi agent reinforcement learning
- management system
- resource allocation
- distributed control
- quality of service
- grid computing
- dynamic environments
- multi agent
- real time
- resource usage
- intelligent agents
- learning agent
- stochastic games
- learning agents
- resource utilization
- multi agent learning
- resource manager
- learning mechanism
- load balancing
- neural network