Deep Actor-Critic Reinforcement Learning for Anomaly Detection.
Chen ZhongMustafa Cenk GursoySenem VelipasalarPublished in: GLOBECOM (2019)
Keyphrases
- anomaly detection
- actor critic
- reinforcement learning
- temporal difference
- policy gradient
- approximate dynamic programming
- reinforcement learning algorithms
- optimal control
- intrusion detection
- neuro fuzzy
- detecting anomalies
- gradient method
- function approximation
- policy iteration
- intrusion detection system
- state space
- learning algorithm
- machine learning
- one class support vector machines
- markov decision processes
- unsupervised learning
- multi agent
- linear program
- model free
- transfer learning
- rl algorithms
- optimal policy
- feature extraction
- evaluation function
- action selection
- learning problems
- temporal difference learning
- dynamic programming