GAP combines domain randomization via LLM-generated environments with meta-RL to improve generalization of autonomous pentesting agents across unseen host configurations and vulnerabilities.
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Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning
GAP combines domain randomization via LLM-generated environments with meta-RL to improve generalization of autonomous pentesting agents across unseen host configurations and vulnerabilities.