Multiagent Deep-Reinforcement-Learning-Based Resource Allocation for Heterogeneous QoS Guarantees for Vehicular Networks.
Jie TianQianqian LiuHaixia ZhangDalei WuPublished in: IEEE Internet Things J. (2022)
Keyphrases
- resource allocation
- multi agent
- reinforcement learning
- vehicular networks
- routing scheme
- resource management
- quality of service
- wireless sensor networks
- grid environment
- ad hoc networks
- resource allocation problems
- routing protocol
- multiagent systems
- routing algorithm
- optimal resource allocation
- propagation model
- learning agents
- multi agent systems
- reinforcement learning algorithms
- single agent
- intelligent agents
- optimal policy
- markov decision processes
- network coding
- response time
- autonomous agents
- grid computing
- computing resources
- energy consumption
- query routing
- image quality
- peer to peer
- state space