Model-Free Deep Reinforcement Learning in Software-Defined Networks.
Luke BorchjesClement NyirendaLouise LeenenPublished in: CoRR (2022)
Keyphrases
- model free
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- temporal difference
- policy iteration
- average reward
- state space
- policy evaluation
- reinforcement learning methods
- neural network
- software development
- least squares
- temporal difference learning
- rl algorithms
- function approximators
- impedance control
- single agent
- reward function
- optimal control
- control system
- multi agent
- feature extraction
- learning algorithm