Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells.
Dagnachew Azene TemesgeneMarco MiozzoDeniz GündüzPaolo DiniPublished in: IEEE Trans. Sustain. Comput. (2021)
Keyphrases
- reinforcement learning
- control problems
- multi agent
- robot control
- distributed control
- control policy
- master slave
- cooperative
- control method
- energy consumption
- optimal control
- learning algorithm
- control strategies
- function approximation
- distributed systems
- dynamic programming
- optimal policy
- blackboard architecture
- mobile robot
- control system
- robotic control
- real time
- model free
- data center
- data acquisition
- cloud computing
- peer to peer
- small number