Constrained Reinforcement Learning for Resource Allocation in Network Slicing.
Yizhen XuZhengyang ZhaoPeng ChengZhuo ChenMing DingBranka VuceticYonghui LiPublished in: IEEE Commun. Lett. (2021)
Keyphrases
- resource allocation
- optimal resource allocation
- reinforcement learning
- resource allocation problems
- game theory
- resource management
- allocation problems
- resource requirements
- resource availability
- peer to peer
- resource allocation and scheduling
- resource allocation decisions
- grid computing environment
- scarce resources
- wireless networks
- grid environment
- allocate resources
- social welfare
- dynamic resource allocation
- flow network
- allocation strategies
- resource usage
- resource consumption
- learning algorithm
- data transfer
- grid computing
- markov decision processes
- optimal policy
- state space
- multi agent
- decision making