Jul 12, 2022 · The framework consists of four phases namely; the model initialization phase, model generation phase, Q-learning phase, and the conclusion phase ...

Feb 4, 2023 · In this paper, we propose a framework based on Markov Decision Process (MDP) and Q-learning to automatically generate optimal defense solutions ...

The framework consists of four phases namely; the model initialization phase, model generation phase, Q-learning phase, and the conclusion phase. The proposed ...

Feb 4, 2023 · The framework consists of four phases namely; the model initialization phase, model generation phase, Q-learning phase, and the conclusion phase ...

We make the standard assumption that the RL agent learns using a. Markov decision process (MDP), which models the random transitions between pairs of states. In ...

Feb 17, 2023 · To enhance its thinking process Markov Decision Process (MDP) will be mitigated with this RL approach. RL impact and induction measures for ...

Dec 2, 2024 · The translation of cybersecurity problems into a Markov decision process is a key step in applying techniques like reinforcement learning ...

Markov Decision Process for Automatic Cyber Defense. https://doi.org/10.1007 ... Zheng, J., Namin, A.S.: Markov decision process to enforce moving target defence ...

At the core of this stands optimising rewards in a sequential decision making process, usually modelled by Markov Decision Process (MDP). Further challenges ...

Markov Decision Process is a computational model used for dynamic programming that guides decision-making in various use areas, such as stock control, ...