Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks.
Hengxi ZhangChengyue LuHuaze TangXiaoli WeiLe LiangLing ChengWenbo DingZhu HanPublished in: IEEE Internet Things J. (2023)
Keyphrases
- resource allocation
- multiagent reinforcement learning
- vehicular networks
- multiagent systems
- propagation model
- routing scheme
- cooperative
- stochastic games
- multi agent
- network coding
- resource management
- game theory
- reinforcement learning algorithms
- wireless sensor networks
- optimal resource allocation
- quality of service
- routing protocol
- wireless networks
- decision making