Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability
ABSTRACT Reinforcement learning (RL) has shown to be effective for simple automated cyber defence (ACD) type tasks. However, there are limitations to these approaches that prevent them from being deployed onto real‐world hardware. Trained RL policies will often have limited transferability across ev...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Wiley
2026-02-01
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| Edice: | Applied AI Letters |
| Témata: | |
| On-line přístup: | https://doi.org/10.1002/ail2.70015 |
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