Deep Reinforcement Learning based Resource Allocation in Dense Sliced LoRaWAN Networks.
Amine TellacheAbdelkader MekracheAbbas BradaiRyma BoussahaYannis PoussetPublished in: ICCE (2022)
Keyphrases
- resource allocation
- reinforcement learning
- resource allocation problems
- resource management
- optimal resource allocation
- allocation problems
- resource requirements
- function approximation
- state space
- markov decision processes
- resource allocation decisions
- resource allocation and scheduling
- allocate resources
- learning process
- game theory
- allocation strategies
- machine learning
- resource usage
- learning algorithm
- optimal policy
- resource consumption
- single agent
- grid environment
- reinforcement learning algorithms
- scarce resources
- special case
- cooperative
- multi agent