Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions.
Yoichi MatsuoJatinder SinghShantanu VermaGuillaume FrayssePublished in: NOMS (2023)
Keyphrases
- reinforcement learning
- prediction accuracy
- neural network
- radial basis function network
- communication networks
- learning algorithm
- artificial neural networks
- learning process
- state space
- network traffic
- network model
- transition model
- sensory inputs
- action space
- partially observable
- reinforcement learning algorithms
- prediction model
- computer networks
- basis functions
- optimal policy
- peer to peer
- supervised learning
- dynamic programming
- wireless sensor networks