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