Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network.
Shilin XuCaili GuoRose Qingyang HuYi QianPublished in: CoRR (2020)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- optimal resource allocation
- cloud computing environment
- resource allocation problems
- resource management
- heterogeneous networks
- cloud computing
- allocation problems
- resource requirements
- decentralized decision making
- state space
- distributed resource allocation
- cooperative
- scarce resources
- resource allocation decisions
- allocate resources
- negotiation mechanism
- propagation model
- resource allocation and scheduling
- peer to peer
- single agent
- model free
- communication networks
- autonomous agents
- social welfare
- grid environment
- traffic flow
- wireless sensor networks
- learning process
- machine learning