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Can LLM Agents Replace Reinforcement Learning Agents in Cyber Defence Automation: A Case Study Using the DARPA CAGE-2 Challenge

As cyber attacks grow more sophisticated, defenders need autonomous systems that are fast, adaptable, and explainable. Over the last decade, various strategies have been proposed for automated cyber defence (as opposed to static rule-based or signature-based), including those based on reinforcement learning (RL). Resea...