A Review of Techniques and Policies on Cybersecurity Using Artificial Intelligence and Reinforcement Learning Algorithms.
Neshat Elhami FardRastko R. SelmicKhashayar KhorasaniPublished in: IEEE Technol. Soc. Mag. (2023)
Keyphrases
- reinforcement learning algorithms
- artificial intelligence
- policy search
- reward function
- reinforcement learning
- total reward
- markov decision processes
- state space
- optimal policy
- tabula rasa
- model free
- reinforcement learning problems
- temporal difference
- eligibility traces
- multiagent reinforcement learning
- function approximation
- reinforcement learning methods
- learning algorithm
- stochastic games
- machine learning
- markov games
- partially observable environments
- partially observable markov decision processes
- multiple agents
- average cost
- policy gradient
- dynamic programming
- infinite horizon
- learning agent
- long run
- finite state
- evaluation function
- transfer learning
- dynamic environments
- markov chain
- active learning
- training set
- neural network