4 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
Konur Tholl, François Rivest, Mariam El Mezouar +2
Reinforcement Learning (RL) has shown great potential for autonomous decision-making in the cybersecurity domain, enabling agents to learn through direct environment interaction. H…
A Comparative Evaluation of Teacher-Guided Reinforcement Learning Techniques for Autonomous Cyber Operations
Konur Tholl, Mariam El Mezouar, Ranwa Al Mallah
Autonomous Cyber Operations (ACO) rely on Reinforcement Learning (RL) to train agents to make effective decisions in the cybersecurity domain. However, existing ACO applications re…
Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
Faizan Contractor, Li Li, Ranwa Al Mallah
Popular methods in cooperative Multi-Agent Reinforcement Learning with partially observable environments typically allow agents to act independently during execution, which may lim…