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cs.LG2024
Machine Theory of Mind for Autonomous Cyber-Defence
Luke Swaby, Matthew Stewart, Daniel Harrold +2
Intelligent autonomous agents hold much potential for the domain of cyber-security. However, due to many state-of-the-art approaches relying on uninterpretable black-box models, th…
cs.LG2024
Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey
Gregory Palmer, Chris Parry, Daniel J. B. Harrold +1
The rapid increase in the number of cyber-attacks in recent years raises the need for principled methods for defending networks against malicious actors. Deep reinforcement learnin…