Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning.
Dian ShiLiang LiTomoaki OhtsukiMiao PanZhu HanH. Vincent PoorPublished in: IEEE Trans. Mob. Comput. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- stackelberg game
- resource allocation decisions
- nash equilibrium
- supply chain
- game theory
- resource allocation problems
- resource management
- decision making
- multi agent systems
- single agent
- model free
- intelligent agents
- markov decision processes
- allocation problems
- optimal resource allocation
- decision makers
- state space
- resource usage
- allocation strategies
- multiagent systems
- optimal policy
- cooperative
- decentralized decision making
- learning agents
- machine learning
- learning algorithm
- reinforcement learning algorithms
- multiple agents
- allocate resources
- software agents
- autonomous agents
- market equilibrium
- distributed resource allocation