Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning.
Paola SotoDanny De VleeschauwerMiguel CameloYorick De BockKoen De SchepperChia-Yu ChangPeter HellinckxJuan Felipe BoteroSteven LatréPublished in: SDS (2021)
Keyphrases
- reinforcement learning
- autonomous learning
- function approximation
- learning algorithm
- temporal difference
- markov decision processes
- cooperative
- autonomous mental development
- markov decision process
- learning process
- learning capabilities
- autonomous navigation
- learning problems
- transfer learning
- optimal policy
- robotic systems
- model free
- multi agent
- active learning
- control problems
- real robot
- deep learning
- temporal difference learning
- machine learning
- multi agent reinforcement learning
- robotic control
- least squares