Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment.
Vibha JainBijendra KumarAditya GuptaPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- allocation problems
- resource allocation problems
- allocation strategies
- allocate resources
- resource usage
- scarce resources
- market equilibrium
- function approximation
- mobile robot
- resource availability
- resource allocation decisions
- social welfare
- negotiation mechanism
- resource allocation and scheduling
- optimal resource allocation
- machine learning
- job scheduling
- cloud computing environment
- resource requirements
- dynamic environments
- resource consumption
- game theory
- state space
- real time
- model free
- combinatorial auctions
- markov decision processes
- learning process
- learning algorithm
- distributed resource allocation