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any% labs is a small research team that studies reward hacking in reinforcement learning with verifiable rewards (RLVR) environments. The team investigates failures in real training runs and develops tools to detect, analyze, and prevent reward exploits, such as cases where models achieve high reward scores without actually solving the intended task. Its current focus is auditing open-source RLVR environments from Prime Intellect's Hub, identifying shortcuts that earn reward without genuine task completion. The group invites contact from others who have training runs or environments that may be scoring well for the wrong reasons, and is also recruiting collaborators interested in working on reward hacking detection and prevention.
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