arXiv:2610.09337v1 Announce Type: new Abstract: Policy-based reinforcement learning (RL) approaches have produced promising results for autonomous cyber defense; however, they are sample-inefficient in settings where defenders must respond under delayed, partial observations with actions from large action spaces.
Ask the Expert: LLM-Guided Reinforcement Learning for Autonomous Cyber Defense
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