Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm.
Yihong LiXiaoxi ZhangTianyu ZengJingpu DuanChuan WuDi WuXu ChenPublished in: CoRR (2023)
Keyphrases
- resource allocation
- multi agent reinforcement learning
- machine learning
- reinforcement learning
- game theory
- resource allocation problems
- multi agent learning
- optimal resource allocation
- learning agents
- multi agent
- multi agent systems
- allocation problems
- stochastic games
- scarce resources
- machine learning algorithms
- artificial intelligence
- learning problems
- combinatorial auctions
- resource allocation decisions
- resource allocation and scheduling
- knowledge engineering
- knowledge acquisition
- supervised learning
- search space
- learning algorithm