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Beyond Rewards in Reinforcement Learning for Cyber Defence

Elizabeth Bates, Chris Hicks, Vasilios Mavroudis
Jun 5, 2026 at 04:00
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arXiv:2602.04809v3 Announce Type: replace-cross Abstract: Recent years have seen an explosion of interest in autonomous cyber defence agents trained to defend computer networks using deep reinforcement learning. These agents are typically trained in cyber gym environments using dense, highly engineered reward functions which combine many...

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