Stephen Pasteris

Guidelines for Applying RL and MARL in Cybersecurity Applications

2025 · arXiv (Cornell University)

Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) have emerged as promising methodologies for addressing challenges in automated cyber defence (ACD). These techniques offer adaptive decision-making capabilities in high-dimensional, adversarial environments. This report provides a …