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Paper · arXiv

Crossing the Cyber Divide: Sim-to-Sim and Sim-to-Real Transfer for RL Agents

Cyber attack agents are typically trained and evaluated within a single simulator, making it unclear whether learned policies transfer beyond the environments in which they were developed. This limitation hinders both deployment and fair comparison, as cyber simulators differ substantially in their state representations, observation models, and action spaces. In this paper, we study policy transfer across cyber environments and argue that simulator-to-simulator and simulator-to-real transfer can be viewed as instances of the same underlying alignment problem. We propose a framework that separates state alignment from action translation, enabling a policy trained in one environment to oper...

AuthorsSabrina Saika, Yinuo Du, Aritran Piplai
Primary categorycs.CR
Published30 September 2026
Last updated at source30 September 2026
cs.CRcs.LG
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