Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells.
Dagnachew Azene TemesgeneMarco MiozzoDeniz GündüzPaolo DiniPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- control problems
- multi agent
- optimal control
- control system
- distributed control
- distributed systems
- master slave
- energy consumption
- function approximation
- cooperative
- learning algorithm
- control policy
- robot control
- control strategies
- distributed environment
- operating system
- small number
- control strategy
- computing environments
- data acquisition
- resource management
- action selection
- cloud computing
- action space
- dynamic programming
- learning process
- machine learning
- blackboard architecture