Multiagent Federated Deep-Reinforcement-Learning-Enabled Resource Allocation for an Air-Ground-Integrated Internet of Vehicles Network.
Nan LiXiaoqin SongKe LiRongtian JiangJiajun LiPublished in: IEEE Internet Comput. (2023)
Keyphrases
- resource allocation
- optimal resource allocation
- multiagent learning
- multi agent
- reinforcement learning
- resource allocation problems
- allocation problems
- game theory
- resource management
- resource allocation decisions
- computer networks
- allocation strategies
- multiagent systems
- resource allocation and scheduling
- market equilibrium
- allocate resources
- peer to peer
- cooperative
- communication networks
- network traffic
- resource usage
- wireless sensor networks
- combinatorial auctions
- resource consumption
- markov decision processes
- resource requirements
- autonomous agents
- dynamic environments
- distributed systems
- digital libraries
- distributed resource allocation
- learning algorithm