Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications.
Xiang LiLingyun LuWei NiAbbas JamalipourDalin ZhangHaifeng DuPublished in: IEEE Trans. Veh. Technol. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- real time
- resource management
- allocation problems
- resource allocation problems
- resource requirements
- machine learning
- optimal resource allocation
- scarce resources
- cooperative
- allocate resources
- resource consumption
- decentralized decision making
- game theory
- resource allocation decisions
- market equilibrium
- distributed resource allocation