AI RESEARCH
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
arXiv CS.LG
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ArXi:2605.20744v1 Announce Type: new Aligning autonomous agents with human intent remains a central challenge in modern AI. A key manifestation of this challenge is reward hacking, whereby agents appear successful under the evaluation signal while violating the intended objective. Reward hacking has been observed across a wide range of settings, yet methods for reliably measuring it at scale remain lacking. In this work, we