Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic.
Fabio SaggeseLuca PasqualiniMarco MorettiAndrea AbrardoPublished in: CoRR (2021)
Keyphrases
- data management
- reinforcement learning
- database management systems
- database systems
- network traffic
- function approximation
- reinforcement learning algorithms
- data warehouse
- traffic flow
- temporal difference
- scientific data
- state space
- scheduling problem
- data warehousing
- model free
- robotic control
- markov decision processes
- query processing
- databases
- data integration
- real time
- database
- arrival times
- road traffic
- learning algorithm
- traffic management
- optimal control
- neural network
- heterogeneous data
- web services
- learning problems
- traffic data
- traffic congestion
- policy search
- multi agent
- scientific data management
- learning process