Multi-Agent Power and Resource Allocation for D2D Communications: A Deep Reinforcement Learning Approach.
Honglin XiangJingyi PengZhen GaoLingjie LiYang YangPublished in: VTC Fall (2022)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- power allocation
- resource allocation problems
- resource management
- allocation problems
- state space
- allocation strategies
- game theory
- resource requirements
- optimal resource allocation
- multiagent systems
- function approximation
- learning agents
- software agents
- dynamic resource allocation
- multi agent systems
- cooperative
- markov decision processes
- decentralized decision making
- communication systems
- combinatorial auctions
- temporal difference
- machine learning
- learning algorithm
- resource usage
- resource consumption
- electricity markets
- negotiation mechanism
- social welfare
- grid environment
- communication networks
- learning process
- decision making
- resource allocation decisions
- market equilibrium
- resource allocation and scheduling