Deep Reinforcement Learning based Adaptive Moving Target Defense.

Taha Eghtesad Yevgeniy Vorobeychik Aron Laszka

Published in: CoRR (2019)

Keyphrases

reinforcement learning
moving target defense
real time
machine learning
multi agent
function approximation
optimal control
learning algorithm
dynamic programming
supervised learning
optimal policy
reinforcement learning algorithms
adaptive filtering
robotic control