Resource Allocation in Vehicular Networks Based on Federated Multi-Agent Reinforcement Learning.
Jiaming YuShaochuan WuLe LiangShi JinPublished in: ICCT (2023)
Keyphrases
- resource allocation
- multi agent reinforcement learning
- vehicular networks
- propagation model
- routing scheme
- network coding
- multi agent learning
- multi agent
- game theory
- resource management
- reinforcement learning
- learning agents
- optimal resource allocation
- multi agent systems
- digital libraries
- wireless sensor networks
- stochastic games
- cooperative
- distributed systems
- combinatorial auctions
- wireless networks
- sensor networks