Multi-Agent Reinforcement Learning for Slicing Resource Allocation in Vehicular Networks.
Yaping CuiHongji ShiRuyan WangPeng HeDapeng WuXinyun HuangPublished in: IEEE Trans. Intell. Transp. Syst. (2024)
Keyphrases
- resource allocation
- multi agent reinforcement learning
- vehicular networks
- propagation model
- network coding
- routing scheme
- multi agent learning
- game theory
- multi agent
- resource management
- stochastic games
- learning agents
- reinforcement learning
- multi agent systems
- cooperative
- optimal resource allocation
- wireless networks
- wireless sensor networks
- routing algorithm
- combinatorial auctions
- real time
- ad hoc networks
- query processing
- neural network