2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.MA2025
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…
cs.CR2023★ 2 cited
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
Jacob Wiebe, Ranwa Al Mallah, Li Li
Recent advancements in deep learning techniques have opened new possibilities for designing solutions for autonomous cyber defence. Teams of intelligent agents in computer network…