Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense.
Taha EghtesadYevgeniy VorobeychikAron LaszkaPublished in: GameSec (2020)
Keyphrases
- reinforcement learning
- moving target defense
- multi agent
- function approximation
- website
- temporal difference
- data driven
- learning algorithm
- reinforcement learning algorithms
- database
- markov decision processes
- model free
- adaptive control
- hidden markov models
- robotic control
- learning capabilities
- learning process
- case study
- machine learning
- neural network
- data sets